Creo Parametric 7.0
The Creo Parametric 7.0: Behavioral Modeling learning guide introduces the analysis tools available in the Behavioral Modeling Extension (BMX) for establishing and analyzing design goals. You will learn how to create analysis features and sensitivity and feasibility studies. Behavioral Modeling provides the ability to automatically change dimensions and parameters to meet specific design goals.This guide was developed using Creo Parametric 7.0, Build 7.0.2.0. Topics CoveredCapabilities of BMXAnalysis FeaturesSensitivity AnalysisFeasibility and Optimization AnalysisMulti-Objective Design StudiesGraph MatchingExcel AnalysisMotion Analysis Prerequisites Access to the Creo Parametric 7.0 software. The practices and files included with this guide might not be compatible with prior versions. Practice files included with this guide are compatible with the commercial version of the software, but not the student edition. It is highly recommended that you have completed the Creo Parametric 7.0: Introduction to Solid Modeling. Experience with MS Excel and Creo Mechanism Design is useful, but not required.
AI Knowledge Transfer from the University to Society
AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making.Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andaluc穩a TECH Campus
Unity 2021 Shaders and Effects Cookbook - Fourth Edition
Overcome the challenges and complexities involved in creating your own shaders with high-level realism using practical solutions, best practices, and the latest features of Unity 2021Key Features: Discover practical recipes for mastering post-processing effects and advanced shading techniquesLearn the secrets of creating AAA quality shaders without writing long algorithmsCreate visually stunning effects for your games using Unity's VFX Graph Book Description: Shaders enable you to create powerful visuals for your game projects. However, creating shaders for your games can be notoriously challenging with various factors such as complex mathematics standing in the way of attaining the level of realism you crave for your shaders.The Unity 2021 Shaders and Effects Cookbook helps you overcome that with a recipe-based approach to creating shaders using Unity. This fourth edition is updated and enhanced using Unity 2021 features and tools covering Unity's new way of creating particle effects with the VFX Graph. You'll learn how to use VFX Graph for advanced shader development. The book also features updated recipes for using Shader Graph to create 2D and 3D elements. You'll cover everything you need to know about vectors, how they can be used to construct lighting, and how to use textures to create complex effects without the heavy math. You'll also understand how to use the visual-based Shader Graph for creating shaders without any code.By the end of this Unity book, you'll have developed a set of shaders that you can use in your Unity 3D games and be able to accomplish new effects and address the performance needs of your Unity game development projects. So, let's get started!What You Will Learn: Use physically based rendering to fit the aesthetic of your gameCreate spectacular effects for your games by testing the limits of what shaders can doExplore advanced shader techniques for your games with AAA qualityUse Shader Graph to create 2D and 3D elements for your games without writing codeMaster the math and algorithms behind the commonly used lighting modelsGet to grips with the Post-Processing Stack to tweak the appearance of your gameWho this book is for: This book is for game developers who want to start creating their first shaders in Unity 2021 and take their game to a whole new level by adding professional post-processing effects. The book assumes intermediate-level knowledge of Unity.
Unstructured Data Analysis
Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of entity extraction, unstructured data, entity resolution, entity network mapping and analysis, and entity management. By following examples of how to apply processing to unstructured data, readers will derive tremendous long-term value from this book as they enhance the value they realize from SAS products.
Asia-Pacific Regional Cooperation and Integration Index
This report discusses the enhanced framework of the Asia-Pacific Regional Cooperation and Integration Index (ARCII) that now includes digital connectivity and environmental cooperation among other innovations for monitoring progress. The ARCII has been used for monitoring progress in various dimensions of regional cooperation and integration (RCI) in Asia and the Pacific since 2017. With these new features of the ARCII, the report explores the links between regional and global economic integration and sheds light on the application of the index to RCI analysis and policy strategies for Asia and Pacific economies.
Creo Parametric 7.0
The Creo Parametric 7.0: Design Documentation and Detailing learning guide is designed for all draftspersons that document designs using Creo Parametric. It focuses on how to use Creo Parametric to communicate design information from your part and assembly models. This content was developed using Creo Parametric 7.0, Build 7.0.2.0. Topics CoveredView creationView manipulationDetailing a drawingDrawing notesTolerancesAssembly drawingsDrawing tables2D sketchingSymbols PrerequisitesAccess to the Creo Parametric 7.0 software. The practices and files included with this guide might not be compatible with prior versions. Practice files included with this guide are compatible with the commercial version of the software, but not the student edition.Completing Creo Parametric 7.0: Introduction to Solid Modeling or equivalent Creo Parametric 7.0 experience.
Architecting AI Solutions on Salesforce
Use Salesforce's out-of-the-box and advanced integration-based AI capabilities to architect modern enterprise solutions on sales, service, marketing, and commerce clouds to drive digital innovation for your clientsKey Features: Get up to speed with Salesforce's AI features and capabilities to meet ever-evolving client needsGet expert advice on key architectural decisions and trade-offs when designing AI-driven Salesforce solutionsIntegrate third-party AI services into applications that modernize your solutionsBook Description: The ever-increasing need for designing state-of-the-art solutions using AI features requires a sound understanding of a vast array of AI capabilities that help you to architect modern solutions. Salesforce Einstein is a set of services that allows seamless implementation of advanced artificial intelligence (AI) features while retaining the ability to cater to custom requirements for the business.This book will help you understand the business and technical benefits of building AI solutions and components available in Salesforce. As you work through a case study of a fictional company beginning to adopt AI in its Salesforce ecosystem, you'll learn how to configure and extend the out-of-the-box features on various Salesforce clouds, their pros, cons, and limitations. You'll also discover how to extend these features using on- and off-platform choices and how to make the best architectural choices when designing custom solutions. Later, you'll advance to integrating third-party AI services such as the Google Translation API, Microsoft Cognitive Services, and Amazon SageMaker on top of your existing solutions. This Salesforce book concludes by taking you through key architectural decisions and trade-offs that may impact the design choices you make.By the end of this book, you'll be able to architect Salesforce AI solutions to meet various customer requirements confidently.What You Will Learn: Explore the AI components available in Salesforce and the architectural model for Salesforce EinsteinExtend the out-of-the-box features using Einstein Services on major Salesforce cloudsUse Einstein declarative features to create your custom solutions with the right approachArchitect AI solutions on marketing, commerce, and industry cloudsUse Salesforce Einstein Platform Services APIs to create custom AI solutionsIntegrate third-party AI services such as Microsoft Cognitive Services and Amazon SageMaker into SalesforceWho this book is for: This book is for existing and aspiring technical and functional architects, technical decision-makers working on the Salesforce ecosystem, and those responsible for designing AI solutions in their Salesforce ecosystem. Lead and senior Salesforce developers who want to start their Salesforce architecture journey will also find this book helpful. Working knowledge of the Salesforce platform is necessary to get the most out of this book.
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
Creo Parametric 7.0
As an experienced user in the basics of Creo Parametric 7.0, this learning guide enables you to create electromechanical cabling systems designed in Creo Parametric using the Piping and Cabling Extension. Utilizing the parametric and associative nature of Creo Parametric, an electromechanical designer can easily create realistic 3D cabling assemblies, wire lists, bill of material tables, and nail-board drawings. The Creo Parametric 7.0: Cable and Harness Design learning guide contains numerous practices to give you practical experience that will improve your job performance. This content was developed using Creo Parametric 7.0, Build 7.0.2.0. Topics CoveredCabling Process OverviewCabling TerminologyEnvironment and Configuration SetupElectromechanical Model SetupManual Designation and ParametersManual SpoolsManual Cabling FeaturesLogical Reference TechniqueRouting MethodsModifying Cabling AssembliesAdditional Routing FeaturesNetworkingCabling Assembly DeliverablesHARNESS-MFG PrerequisitesAccess to the Creo Parametric 7.0 software. The practices and files included with this guide might not be compatible with prior versions. Practice files included with this guide are compatible with the commercial version of the software, but not the student edition.It is recommended that you have completed the Creo Parametric: Introduction to Solid Modeling learning guide or have equivalent experience.
Rethinking Virtual Places
How would the humanities change if we grappled with the ways in which digital and virtual places are designed, experienced, and critiqued?In Rethinking Virtual Places, Erik Malcolm Champion draws from the fields of computational sciences and other place-related disciplines to argue for a more central role for virtual space in the humanities. For instance, recent developments in neuroscience could improve our understanding of how people experience, store, and recollect place-related encounters. Similarly, game mechanics using virtual place design might make digital environments more engaging and learning content more powerful and salient. In addition, Champion provides a brief introduction to new and emerging software and devices and explains how they help, hinder, or replace our traditional means of designing and exploring places. Perfect for humanities scholars fascinated by the potential of virtual space, Rethinking Virtual Places challenges both traditional and recent evaluation methods to address the complicated problem of understanding how people evaluate and engage with the notion of place.
Digital Transformation in a Post-Covid World
This book explores the innovations, disruptions and changes that are required to adapt in a fast-evolving landscape due to the extraordinary circumstances triggered by the COVID-19 pandemic. Recognized experts from around the world share their research and professional experience on how the working environment, as well as the world around them, have changed due to the pandemic. 　 Chapters consider how different fields across technology and business have been affected by this new, dramatic scenario and the drastic consequences that the pandemic had on them. With diverse contributions stemming from public health, technology strategies, urban planning and sociology to sustainable management, this volume is articulated into four distinct but complementary sections of People, Process, Planet, and Prosperity influencing the post-COVID world. 　 This book will be of great interest to those in the fields of computer science and information technology, as well as those studying the impact and effects that COVID-19 is having on society.
2⁵ Problems for Stem Education
25 Problems for STEM Education introduces a new and emerging course for undergraduate STEM programs called Physical-Mathematical Informatics. This course corresponds with the new direction in education called STE(A)M (Science, Technology, Engineering, [Art] and Mathematics). The book focuses on undergraduate university students (and high school students), as well as the teachers of mathematics, physics, chemistry and other disciplines such as the humanities. This book is suitable for readers who have a basic understanding of mathematics and math software. Features Contains 32 interesting problems (studies) and new and unique methods of solving these physical and mathematical problems using a computer as well as new methods of teaching mathematics and physics Suitable for students in advanced high school courses and undergraduates, as well as for students studying Mathematical Education at the Master's or PhD level One of the only books that attempts to bring together ST(E)AM techniques, computational mathematics and informatics in a single, unified format
The Power of Geometric Algebra Computing
Geometric Algebra is a very powerful mathematical system for an easy and intuitive treatment of geometry, but the community working with it is still very small. The main goal of this book is to close this gap from a computing perspective in presenting the power of Geometric Algebra Computing for engineering applications and quantum computing.The Power of Geometric Algebra Computing is based on GAALOPWeb, a new user-friendly, web-based tool for the generation of optimized code for different programming languages as well as for the visualization of Geometric Algebra algorithms for a wide range of engineering applications.Key Features: Introduces a new web-based optimizer for Geometric Algebra algorithms Supports many programming languages as well as hardware Covers the advantages of high-dimensional algebras Includes geometrically intuitive support of quantum computing This book includes applications from the fields of computer graphics, robotics and quantum computing and will help students, engineers and researchers interested in really computing with Geometric Algebra.
Metaheuristic Algorithms in Industry 4.0
Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Maximizing Tableau Server
Enhance the way you use Tableau Server's analytical tools by learning how to manage content to drive user engagementKey Features: Understand how to quickly get connected, start publishing workbooks, and adjust basic settingsNavigate the Tableau Server interface to filter and locate content, customize viewing options, and automate various tasksLearn best practices for improving the efficiency of workbooks and data sourcesBook Description: Tableau Server is a business intelligence application that provides a centralized location to store, edit, share, and collaborate on content, such as dashboards and curated data sources. This book gets you up and running with Tableau Server to help you increase end-user engagement for your published work as well as reduce or eliminate redundant tasks.You'll explore Tableau Server's structure and how to get started by connecting, publishing content, and navigating the software interface. Next, you'll learn when and how to update the settings of your content at various levels to best utilize Tableau Server's features. You'll understand how to interact with the Tableau Server interface to locate, sort, filter, manage and customize content. Later, the book shows you how to leverage other valuable features that enable you and your audience to share, download, and interact with content on Tableau Server. As you progress, you'll cover principles to increase the performance of your published content. All along, the book shows you how to navigate, interact with, and use Tableau Server with the help of engaging examples and best practices shared by recognized Tableau professionals.By the end of this Tableau book, you'll have a solid understanding of how to use Tableau Server to manage content, automate tasks, and increase end-user engagement.What You Will Learn: Get well-versed in Tableau Server's interface to quickly and easily access essential contentExplore the different types of content and navigate through the project hierarchy quicklyUnderstand how to connect, publish, manage, and modify content on Tableau ServerDiscover how to share content and collaborate with othersAutomate tedious tasks by creating custom views, alerts, subscriptions, and data refresh schedulesBuild data visualizations using Web EditUnderstand how to monitor disparate metrics on multiple dashboardsWho this book is for: This Tableau software book is for BI developers, data analysts, and everyday users who have access to Tableau Server and possess basic web navigation skills. No prior experience with Tableau Server is required.
Simulation and Synthesis in Medical Imaging
This book constitutes the refereed proceedings of the 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 14 full papers presented were carefully reviewed and selected from 18 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/ microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement, or segmentation. *The workshop was held virtually.
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
This book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Machine Learning in Medical Imaging
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.
Autodesk Vault Workgroup 2022
The Autodesk(R) Vault Workgroup 2022: Essentials learning guide expands the Autodesk(R) Vault Basic functionality to working with document lifecycles and providing knowledge of advanced data organization.This learning guide is intended for users and CAD administrators with Autodesk Vault Basic knowledge who want to expand their skills to accommodate additional engineering workflows and data organization. This learning guide focuses on the features of Autodesk Vault Workgroup. Hands-on exercises are included to reinforce lifecycle and revision management. Users are taught how to manage lifecycles, properties, categories, and revisions. Topics CoveredIntroduction to Autodesk Vault WorkgroupLifecycle StatesRevision ManagementWorking with CategoriesManaging PropertiesAutomatic File NamingCreating ReportsCopy DesignJob ServerVault Revision Table Administration PrerequisitesAccess to the 2022 version of the software, to ensure compatibility with this guide. Future software updates that are released by Autodesk may include changes that are not reflected in this guide. The practices and files included with this guide might not be compatible with prior versions (e.g., 2021). It is recommended that you have a good working knowledge of Autodesk CAD programs and have working knowledge of Autodesk Vault Basic features.
Autodesk Inventor CAM 2022
The Autodesk(R) Inventor(R) CAM 2022: Milling Fundamentals guide focuses on instructing new users on how to use the Inventor CAM add-on to create milling toolpaths. The guide begins with an introduction to the overall Inventor interface and explains how to manipulate your 3D model to change its orientation and view display. Through additional hands-on, practice-intensive curriculum, you will learn the key skills and knowledge required to take the 3D model, set it up in the CAM environment, and assign the 2D and 3D milling toolpaths needed to generate the CNC code required by milling machines. Topics CoveredNavigate the Inventor software interface to locate and execute commands.Use the model orientation commands to pan, zoom, rotate, and look at a model.Assign visual styles to your models.Locate, modify, and create tools in the Tool Library.Set up machining operations using Inventor CAM.Create 2D Milling, 3D Milling and Drilling toolpaths using the Inventor CAM interface.Use the Simulation option to visualize toolpaths.Import a tool library.Create a toolpath template.Post process an Inventor CAM setup to output the CNC code required to machine a model. PrerequisitesAccess to the 2022 version of the software, to ensure compatibility with this guide. Future software updates that are released by Autodesk may include changes that are not reflected in this guide. The practices and files included with this guide are not compatible with prior versions (e.g., 2021).As an introductory guide, Autodesk(R) Inventor(R) CAM 2022: Milling Fundamentals does not assume prior knowledge of Autodesk Inventor CAM. However, this guide will not provide instructional content on how to create 3D models using the Inventor modeling tools. Its focus is solely on generating 2D and 3D milling and drilling toolpaths once models are created. The Autodesk(R) Inventor(R) 2022: Introduction to Solid Modeling guide should be used to learn to create 3D models. It is recommended that users have prior experience with the Windows operating system, knowledge of 3D model creation/modification, and an understanding of the CNC milling process.
Intelligent Support for Computer Science Education
Intelligent Support for Computer Science Education presents the authors' research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp.Key Features: Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education. Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level. Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies. Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions). Provides a time-series analysis of student behavior when interacting with the system. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors' work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Excel
This book includes: Excel: The Ultimate Comprehensive Step-By-Step Guide to the Basics of Excel ProgrammingExcel: The Ultimate Comprehensive Step-by-Step Guide to Strategies in Excel Programming (Formulas, Shortcuts and Spreadsheets)Have you ever wanted to know what you can do with excel?Did you know that you could use excel to learn more about trend lines?Did you know you could use excel to learn more about your data?Well, if you want the answers to these questions you have come to the right place.Excel is one of the most useful tools developed by Microsoft which can not only be used to store data, but also be used to analyze data. This book will shed some light on how you can use excel, and also share some tips on how you can become an expert.Over the course of the book, you will gather information on: An introduction to VBAHow to Use Data From ExcelHow to Manipulate Data In ExcelWorking With Loops, Strings and Conditional StatementsError Handling and DebuggingCommon Mistakes for You to AvoidHow to add or delete rows and columns in a worksheetHow to identify and remove duplicates in the data setHow to use the Paste Special option in ExcelHow to sort data using multiple sort levelsDifferent functions that one can use in Excel to perform numerous operationsSimple mathematical operations that can be performed in ExcelHow to use AutofillSome shortcuts in ExcelIt is important to remember that one can only master Excel or any other tool if they practice. Yes, you will make mistakes and there may be times when you do not know what it is that you need to do to format a cell, modify the data in a cell or format a worksheet. Do not let that bring you down. This book will guide you and help you understand how you can use excel.So, grab a copy of this book NOW.
Redux Made Easy with Rematch
Discover the power of Rematch and its plugins by building a real-world application from scratchKey Features: Get to grips with the capabilities of Rematch quickly as you build applicationsLearn to use Rematch and its plugins to simplify everyday tasksTake total control of the application state and manage its scalability using RematchBook Description: Rematch is Redux best practices without the boilerplate. This book is an easy-to-read guide for anyone who wants to get started with Redux, and for those who are already using it and want to improve their codebase.Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will take you from the simplest through to the most complex layers of Rematch. You'll learn how to migrate from Redux, and write plugins to set up a fully tested store by integrating it with vanilla JavaScript, React, and React Native. You'll then build a real-world application from scratch with the power of Rematch and its plugins. As you advance, you'll see how plugins extend Rematch functionalities, understanding how they work and help to create a maintainable project. Finally, you'll analyze the future of Rematch and how the frontend ecosystem is becoming easier to use and maintain with alternatives to Redux.By the end of this book, you'll be able to have total control of the application state and use Rematch to manage its scalability with simplicity.What You Will Learn: Understand the principal concepts of Flux and ReduxFind out what the main problems are that Rematch solvesBecome familiar with the Rematch ecosystemDevelop an application using Rematch and React togetherWrite unit and integration tests to get 100% test coverage of your programs with RematchCreate a React Native app with Rematch and ExpoPersist data with redux-persist and RematchBuild a Rematch plugin from scratchWho this book is for: This book is for React and Redux users looking for better alternatives for Redux. Familiarity with JavaScript, React, and Redux will help you make the most of this book.
Enterprise LMS with Adobe Captivate Prime
Learn to publish content online effectively with maximum ROI using this most definitive guide on Captivate Prime from the author of bestselling Captivate books, Damien BruyndonckxKey Features: Explore Captivate Prime to publish e-learning content such as videos, SCORM packages, and PPTs onlineDiscover best practices for creating, managing, and administering an online learning platformImplement gamification, social learning, and AI-enabled recommendation for an immersive learning experienceBook Description: Adobe Captivate Prime is an enterprise learning management system (LMS) that enables organizations to deliver, manage, and track engaging learning experiences for employees, partners, and customers. This book will help you unlock the full potential of this platform to deliver world-class learning experiences.Complete with walkthroughs, examples, and strategies to fully understand Captivate Prime, this book will set you on the path to becoming an administrator, author, or teacher and see you experiment with Captivate Prime from different perspectives. You'll gain an in-depth understanding of how the features relate to one another and to your business.After setting up the platform, you'll learn how to push learning content online and arrange it to build an online course that provides a blended learning experience. You'll be able to deploy your content to different devices and explore Captivate Prime's features for monitoring your students' progress on a daily basis. Finally, you'll see how to organize and maintain your course catalog and take the learner experience to the next level.By the end of the book, you'll be able to implement your organization's training strategy and provide engaging learning experiences while building meaningful reports to monitor their effectiveness.What You Will Learn: Configure and customize Captivate Prime LMS to fulfill your business training needsIntegrate Captivate Prime into your existing IT infrastructureManage different types of users such as employees, partners, and customers on your training platformPublish and organize your learning content to build courses, learning programs, and certificationsTrack your students' progress and manage course instances dailyOrganize your learning catalogs to meet the most demanding security and instructional requirementsWho this book is for: This book is for learning and development professionals, HR managers, corporate instructors, LMS admins, and team leaders looking to set up and manage training and development programs for employees, partners, and customers using Adobe Captivate Prime LMS. The book assumes working knowledge of operating systems and the common tools used by most L&D professionals. A beginner-level understanding of online learning platforms will be beneficial.
Ophthalmic Medical Image Analysis
This book constitutes the refereed proceedings of the 8th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September 2021.* The 20 papers presented at OMIA 2021 were carefully reviewed and selected from 31 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies. *The workshop was held virtually.
Excel 2019 Project Book
Designed as a project and case-oriented approach to learning Excel, the emphasis of this book is on learning by doing. The book presents a series of progressively reinforcing problem sets, which allow the exploration of real-life business problems. First, the background, theory, formulas, and calculations arediscussed, followed by the design of Excel spreadsheets, which support the creation of effective spreadsheets for these applications. Finally, the proper solution and other related aspects are discussed, forming a cohesive set of practical application problems. FEATURES: Provides 30 projects, several How-to Guides, and Application Types to learn Excel skills using problems, applications, and case studies featuring practical business problemsExplores formulas and functions, financial functions, cell addressing, conditional functions, lookup functions, graphs, sorting, and filtering, amortization tables, future values of an investment, weighted averages, cash flows, payroll calculations, break even analysis, economic order quantity, spreadsheet databases, and moreInstructor resources available with four Excel video tutorials and images from the text.
Enterprise Integration with Azure Logic Apps
Learn how to create sophisticated and reliable Logic Apps with improved UXKey Features: Become an Azure Master and create data flows within a matter of minutesPerform transfers using Logic Apps with prompt resultsCreate powerful Logic Apps by enhancing your systems to improve user experienceBook Description: Logic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results.You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code.By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience.What You Will Learn: Understand how to use blades, overview pages, and subscription pagesDiscover how to create a Microsoft account to manage your tenantUse a Visual Studio subscription with Azure to manage your Logic AppsFind out how to manage the cloud by analyzing runs, executions, and costsCreate resource groups to zone your enterprise environmentsSupport a development life cycle from sandbox through to productionWho this book is for: If you are an aspiring infrastructure technician who already uses Azure in place of on-premises solutions and is now looking to link systems together, then this book is for you. This book is also for developers interested in systems integration where legacy systems may not have a direct data link and the cloud is the intermediary step. Power users with existing IT skills and experience with Power BI and Power Automate will also find this book useful.
Computer Vision Systems
This book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture.
Image and Graphics
This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
Image and Graphics
This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
Image and Graphics
This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
?ffnungstechniken f羹r Schl羹sseldienste
?ffnungstechniken f羹r angehende Schl羹sselnotdienste sowie f羹r bestehende Schl羹sselnotdienste. Sie haben einen beruflichen Neustart als Schl羹sselnotdienst geplant oder wollen Ihr bestehendes Gewerbe erweitern? Dann ist dieses Nachschlagewerk genau richtig f羹r Sie. Dieses Buch ist ein Begleitbuch zu unseren Schl羹sselnotdienstseminaren. Es wird Ihnen Ihre Arbeit erleichtern, indem es Ihnen Sicherheit durch Nachschlagen und Nachmachen vermittelt.
Advances in Photometric 3D-Reconstruction
1. A Comprehensive Introduction to Photometric 3D-Reconstruction.- 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments.- 3. RGBD-Fusion: Depth Refinement for Diffuse and Specular Objects.- 4. Non-Rigid Structure from Motion and Shading.- 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.- 6. Recent Progress in Shape from Polarization.- 7. Estimating Facial Aging using Light Scattering Photometry.
A Fast Track to Online Learning
Fast Track to Online Learning describes how schools and school districts must adopt a process for the development of advanced curriculum.
A Fast Track to Online Learning
Fast Track to Online Learning describes how schools and school districts must adopt a process for the development of advanced curriculum.
Information Technology Essentials Volume 2
This book is the second in a series of books I designed to help beginners get started with information technology. In the first book, I covered some of the entry-level concepts that computer science students must master. In this volume, you will learn your first programming language, C#.Do you want to learn C# but don't know where to start? Are other beginner's C# books not really for beginners? This guide assumes nothing and will teach you from absolute scratch.The C# programming language from Microsoft is one of the most popular programming languages in the world. Hop on board and learn how to code in C#.The Beginner's Guide to C# is designed for true beginners to get started with this powerful programming language. No prior programming experience is required to read and take full advantage of this book.Readers will need access to a PC to install .NET Core (free download) to run the labs in this book. The guide will also present readers to some affordable cloud-based options that will allow for cloud-based software development.Starting from the very beginning, The Beginner's Guide to C# will present the reader with an elementary sample program. Once the code in the sample program is explained and reviewed, it will then proceed to add elements that illustrate basic language constructs step-by-step. This process will continue until the demonstration program is fully developed.This book will review essential language elements such as: LoopsIf StatementsCase StatementsC# Data TypesMethodsObject-Oriented Programmingand much more.As a final project, the guide will take the reader through the process of building a complete program that integrates all of the concepts in the book.By completing the labs and projects in the The Beginner's Guide to C#, the reader will acquire a basic knowledge of the C# programming language and be able to write code.Buy your copy now and start coding!
Mastercam 2022 for SolidWorks Black Book
The Mastercam 2022 for SolidWorks Black Book is the 3rd edition of our series on Mastercam for SolidWorks. With lots of additions and thorough review, we present a book to help professionals as well as learners in creating some of the most complex NC toolpaths. The book follows a step by step methodology. In this book, we have tried to give real-world examples with real challenges in designing. We have tried to reduce the gap between university use of Mastercam and industrial use of Mastercam. In this edition of book, we have included many new topics of Mastercam 2022 for SolidWorks like Unified Toolpaths, Toolpath Preview, Port Expert, and so on. There are about 25 topics newly added or thoroughly updated in this edition. The book covers almost all the information required by a learner to master Mastercam for SolidWorks. The book starts with basics of machining and ends at advanced topics like Multiaxis Machining Toolpaths. Some of the salient features of this book are: In-Depth explanation of conceptsEvery new topic of this book starts with the explanation of the basic concepts. In this way, the user becomes capable of relating the things with real world.Topics CoveredEvery chapter starts with a list of topics being covered in that chapter. In this way, the user can easy find the topic of his/her interest easily.Instruction through illustrationThe instructions to perform any action are provided by maximum number of illustrations so that the user can perform the actions discussed in the book easily and effectively. There are about 700 small and large illustrations that make the learning process effective.Tutorial point of viewAt the end of concept's explanation, the tutorial make the understanding of users firm and long lasting. Almost each chapter of the book has tutorials that are real world projects. Moreover most of the tools in this book are discussed in the form of tutorials.ProjectProjects and exercises are provided to students for practicing.NewIf anything is added or enhanced in this edition which is not available in the previous editions, then it is displayed with symbol in table of content. For FacultyIf you are a faculty member, then you can ask for video tutorials on any of the topic, exercise, tutorial, or concept. Instructor resources are available for the book which contains answers to self-assessment, Models with Machining setup create, model files of examples discussed in book, and Lesson plan for the book.
Mastercam 2022 for SolidWorks Black Book (Colored)
The Mastercam 2022 for SolidWorks Black Book (Colored) is the 3rd edition of our series on Mastercam for SolidWorks. With lots of additions and thorough review, we present a book to help professionals as well as learners in creating some of the most complex NC toolpaths. The book follows a step by step methodology. In this book, we have tried to give real-world examples with real challenges in designing. We have tried to reduce the gap between university use of Mastercam and industrial use of Mastercam. In this edition of book, we have included many new topics of Mastercam 2022 for SolidWorks like Unified Toolpaths, Toolpath Preview, Port Expert, and so on. There are about 25 topics newly added or thoroughly updated in this edition. The book covers almost all the information required by a learner to master Mastercam for SolidWorks. The book starts with basics of machining and ends at advanced topics like Multiaxis Machining Toolpaths. Some of the salient features of this book are: In-Depth explanation of conceptsEvery new topic of this book starts with the explanation of the basic concepts. In this way, the user becomes capable of relating the things with real world.Topics CoveredEvery chapter starts with a list of topics being covered in that chapter. In this way, the user can easy find the topic of his/her interest easily.Instruction through illustrationThe instructions to perform any action are provided by maximum number of illustrations so that the user can perform the actions discussed in the book easily and effectively. There are about 700 small and large illustrations that make the learning process effective.Tutorial point of viewAt the end of concept's explanation, the tutorial make the understanding of users firm and long lasting. Almost each chapter of the book has tutorials that are real world projects. Moreover most of the tools in this book are discussed in the form of tutorials.ProjectProjects and exercises are provided to students for practicing.NewIf anything is added or enhanced in this edition which is not available in the previous editions, then it is displayed with symbol in table of content. For FacultyIf you are a faculty member, then you can ask for video tutorials on any of the topic, exercise, tutorial, or concept. Instructor resources are available for the book which contains answers to self-assessment, Models with Machining setup create, model files of examples discussed in book, and Lesson plan for the book.
