Technology Touchpoints
We do not have to hate or fear technology. It is neither friend nor foe. But understanding its impact on our daily lives is paramount to cultivating a healthier relationship both with our digital lives and our real, lived ones. Loretta Brady shows us how in Technology Touchpoints.
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022.The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
Digital Humanism
This open access book deals with cultural and philosophical aspects of artificial intelligence (AI) and pleads for a "digital humanism". This term is beginning to be en vogue everywhere. Due to a growing discontentment with the way digitalization is being used in the world, particularly formulated by former heroes of Internet, social media and search engine companies, philosophical as well as industrial thought leaders begin to plead for a humane use of digital tools. Yet the term "digital humanism" is a particular terminology that lacks a sound conceptual and philosophical basis and needs clarification still - and this gap is exactly filled by this book. It propagates a vision of society in which digitization is used to strengthen human self-determination, autonomy and dignity and whose time has come to be propagated throughout the world. The advantage of this book is that it is philosophically sound and yet written in a way that will make it accessible for everybody interested in the subject. Every chapters begins with a film scene illustrating a precise philosophical problem with AI and how we look at it - making the book not only readable, but even entertaining. And after having read the book the reader will have a clear vision of what it means to live in a world where digitization and AI are central technologies for a better and more humane civilization.
Multi-Disciplinary Trends in Artificial Intelligence
This book constitutes the refereed proceedings of the 15th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2022, held online on November 17-19, 2022.The 14 full papers and 5 short papers presented were carefully reviewed and selected from 42 submissions.
iOS Animations by Tutorials (Seventh Edition)
Make Delightful Animations with Swift!There's no denying it: creating animations is one of the most enjoyable parts of iOS development.Animations are fun to create, they breathe life into your user interface, and they make your app a delight to use.In this book, you'll learn about iOS animation in Swift from beginning to advanced through a series of hands-on tutorials and challenges, that make your app look and feel great.Who This Book Is ForThis book is for intermediate to advanced developers, who already know the basics of iOS and Swift development and want to dive deep into animations.Topics Covered in iOS Animations by Tutorials: SwiftUI: Learn how to bring this exciting new technology to life.View Animations: Learn how to animate views: size, position, color, and more.Springs: Make your animations bounce with realistic spring behavior.Transitions: Add subtle transitions when you add or remove subviews.Keyframe Animations: Learn how to make complex animations with precise multi-stage timing.Animation and Auto Layout: Learn how to animate with Auto Layout by animating constraints.Layer Animations: Dive deeper and use layer animation for more advanced techniques.Shapes and Masks: Learn how to use shapes and layer masks for cool effects.Gradient Animations: Make moving gradients like the "slide to unlock" screen.Stroke and Path Animations: Animate lines moving over time along a path.3D Animations: Rotate, translate, and scale your layers over time in three dimensions.
Artificial Intelligence and Robotics
This two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022.The 67 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.
Artificial Intelligence and Robotics
This two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022.The 69 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.
Prima 2022: Principles and Practice of Multi-Agent Systems
This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in hybrid mode in Valencia, Spain, in November 2022. The 31 full papers presented together with 15 short papers and 1 demo paper were carefully reviewed and selected from 100 submissions.The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
R-Calculus: A Logic of Belief Revision
This book introduces new models based on R-calculus and theories of belief revision for dealing with large and changing data. It extends R-calculus from first-order logic to propositional logic, description logics, modal logic and logic programming, and from minimal change semantics to subset minimal change, pseudo-subformula minimal change and deduction-based minimal change (the last two minimal changes are newly defined). And it proves soundness and completeness theorems with respect to the minimal changes in these logics. To make R-calculus computable, an approximate R-calculus is given which uses finite injury priority method in recursion theory. Moreover, two applications of R-calculus are given to default theory and semantic inheritance networks. This book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners in the field of logic. Also it is very useful for all those who are interested in data, digitization and correctnessand consistency of information, in modal logics, non monotonic logics, decidable/undecidable logics, logic programming, description logics, default logics and semantic inheritance networks.
Speech and Computer
This book constitutes the proceedings of the 24th International Conference on Speech and Computer, SPECOM 2022, held as a hybrid event in Gurugram, India, in November 2022.The 51 full and 9 short papers presented in this volume were carefully reviewed and selected from 99 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources.
Multimodal Agents for Ageing and Multicultural Societies
This book aims to explore and discuss theories and technologies for the development of socially competent and culture-aware embodied conversational agents for elderly care. To tackle the challenges in ageing societies, this book was written by experts who have a background in assistive technologies for elderly care, culture-aware computing, multimodal dialogue, social robotics and synthetic agents. Chapter 1 presents a vision of an intelligent agent to illustrate the current challenges for the design and development of adaptive systems. Chapter 2 examines how notions of trust and empathy may be applied to human-robot interaction and how it can be used to create the next generation of emphatic agents, which address some of the pressing issues in multicultural ageing societies. Chapter 3 discusses multimodal machine learning as an approach to enable more effective and robust modelling technologies and to develop socially competent and culture-aware embodied conversational agents for elderly care. Chapter 4 explores the challenges associated with real-world field tests and deployments. Chapter 5 gives a short introduction to socio-cognitive language processing that describes the idea of coping with everyday language, irony, sarcasm, humor, paralinguistic information such as the physical and mental state and traits of the dialogue partner, and social aspects. This book grew out of the Shonan Meeting seminar entitled "Multimodal Agents for Ageing and Multicultural Societies" held in 2018 in Japan. Researchers and practitioners will be helped to understand the emerging field and the identification of promising approaches from a variety of disciplines such as human-computer interaction, artificial intelligence, modelling, and learning.
Hci International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments
Volume LNCS 13519 is part of the refereed proceedings of the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually during June 26 to July 1, 2022.A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.
Human-Computer Integration
Human-Computer Integration (HInt) is an emerging paradigm in the human-computer interaction (HCI) field. Its goal is to integrate the human body and the computational machine. Because HInt is not an isolated area of research, the authors draw upon discussions from related perspectives, including cybernetics, augmentation, cyborgs, and wearables. While these prior works provide a basis for HInt, and some of their associated challenges also apply to HInt, the authors focus on articulating the HInt challenges that are of particular relevance to HCI. The monograph makes three contributions: First, the authors apply two key dimensions from psychology - bodily agency and bodily ownership - to enhance our understanding of HInt systems. Second, they use these two dimensions to provide new perspectives on user integration experiences and to develop an integration systems design space. Third, they use the design space and its two dimensions to articulate HInt's key challenges and group these challenges into four areas: design, society, identity, and technology. Ultimately, the work aims to facilitate a more structured investigation into human body and computational machine integration.
A Comprehensive Review of Modern Object Segmentation Approaches
Automated visual recognition tasks such as image classification, image captioning, object detection and image segmentation are essential for image and video processing. Of these, image segmentation is the task of associating pixels in an image with their respective object class labels. It has a wide range of applications within many industries, including healthcare, transportation, robotics, fashion, home improvement, and tourism. In this monograph, both traditional and modern object segmentation approaches are investigated, comparing their strengths, weaknesses, and utilities. The main focus is on the deep learning-based techniques for the two most widely solved segmentation tasks: Semantic Segmentation and Instance Segmentation. A wide range of deep learning-based segmentation techniques developed in recent years are examined. Various themes emerge from these techniques that push machines to their limits, and often deviate from human perception principles. In addition, an overview of the widely used benchmark datasets for each of these techniques, along with the respective evaluation metrics to measure the models' performances, are presented. Potential future research directions conclude the monograph. This monograph serves as a good introduction to the automated visual recognition task of image segmentation and is intended for students and professionals.
Business Development
This reference book provides a compact overview of the increasingly important topic of Business Development. The author not only describes the role of the Business Development Manager with its tasks, but also shows how Business Development can be organizationally integrated into a company. In addition, a prototypical Business Development Process is specifically presented and explained using a case study.The second, revised and expanded edition of the reference book shows that crises can also be an opportunity, explains specific Key Performance Indicators (KPIs) for Business Development and describes new digital business models. In addition, the book was supplemented by a practical interview and quotes from business and science.The reference book helps everyone who is responsible for introducing or optimizing Business Development in the company or who wants to work in this area in the future.
Representation in Machine Learning
This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both theory and practice, when they are confronted with the huge size of the underlying data. Solutions to this problem are aptly covered in the book. In addition, the book covers a wide range of representation techniques that are important for academics and ML practitioners alike, such as Locality Sensitive Hashing (LSH), Distance Metrics and Fractional Norms, Principal Components (PCs), Random Projections and Autoencoders. Several experimental results are provided in the book to demonstrate the discussed techniques' effectiveness.
Advances in Visual Computing
This two-volume set of LNCS 13598 and 13599 constitutes the refereed proceedings of the 17th International Symposium on Visual Computing, ISVC 2022, which was held in October 2022. The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections: Part I: ​deep learning I; visualization; object detection and recognition; deep learning II; video analysis and event recognition; computer graphics; ST: biomedical imaging techniques for cancer detection, diagnosis and management.Part II: ​ST: neuro-inspired artificia intelligence; applications; segmentation and tracking; virtual reality; poster.
Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV
Bangabandhu and Digital Bangladesh
This book constitutes selected papers presented during the First International Conference on Bangabandhu and Digital Bangladesh, ICBBDB 2021, held in Dhaka, Bangladesh, in December 2021. Due to the COVID-19 pandemic the conference was partly held online. The 16 papers presented were thoroughly reviewed and selected from the 90 submissions. They present research in the areas of artificial intelligence, machine learning, image processing, blockchain technology, human-computer interaction, etc.
The Sentient Robot
Artificial intelligence is on the point of taking humankind into a new age. The turning point will come when AI has advanced so far that it matches human intelligence in every way. Human intelligence, whilst slower in some respects, is still more flexible than AI. But, once AI has caught up, it will take no time at all before going on to surpass humans by a huge distance. That scary prospect is termed artificial superintelligence (ASI).Rupert Robson argues that we are now just two conceptual hurdles away from developing ASI. The first of the two hurdles is to embed consciousness in AI, thereby giving us the sentient robot. This will enable ASI to see the world through our eyes. The second of the two hurdles is about the developmental step needed in AI design so as to achieve human-level flexibility in thought.A new world is about to open up before us. We need to understand it and prepare for it.
Convex Optimization for Machine Learning
This book covers an introduction to convex optimization, one of the powerful and tractable optimization problems that can be efficiently solved on a computer. The goal of the book is to help develop a sense of what convex optimization is, and how it can be used in a widening array of practical contexts with a particular emphasis on machine learning. The first part of the book covers core concepts of convex sets, convex functions, and related basic definitions that serve understanding convex optimization and its corresponding models. The second part deals with one very useful theory, called duality, which enables us to: (1) gain algorithmic insights; and (2) obtain an approximate solution to non-convex optimization problems which are often difficult to solve. The last part focuses on modern applications in machine learning and deep learning. A defining feature of this book is that it succinctly relates the "story" of how convex optimization plays a role, via historical examples and trending machine learning applications. Another key feature is that it includes programming implementation of a variety of machine learning algorithms inspired by optimization fundamentals, together with a brief tutorial of the used programming tools. The implementation is based on Python, CVXPY, and TensorFlow. This book does not follow a traditional textbook-style organization, but is streamlined via a series of lecture notes that are intimately related, centered around coherent themes and concepts. It serves as a textbook mainly for a senior-level undergraduate course, yet is also suitable for a first-year graduate course. Readers benefit from having a good background in linear algebra, some exposure to probability, and basic familiarity with Python.
Artificial Neural Networks in Pattern Recognition
This book constitutes the refereed proceedings of the 10th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2022, held in Dubai, UAE, in November 2022. The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The conference presents papers on subject such as pattern recognition and machine learning based on artificial neural networks.
Developing Solutions for Microsoft Azure AZ-204 Exam Guide
Build a thorough understanding of the technology, concepts, and development patterns used in building applications in Azure, through detailed explanations, hands-on exercises, and downloadable code samplesKey Features: Written by two Microsoft technical trainers to help you explore the exam topics in a structured wayUnderstand the "why", and not just "how" behind design and solution decisionsFollow along examples with downloadable code samples to help cement each topic's learning objectiveBook Description: With the prevalence of cloud technologies and DevOps ways of working, the industry demands developers who can build cloud solutions and monitor them throughout their life cycle. Becoming a Microsoft-certified Azure developer can differentiate developers from the competition, but with such a plethora of information available, it can be difficult to structure learning in an effective way to obtain certification.Through easy-to-understand explanations and exercises, this book will provide a more palatable learning experience than what you may expect from an exam preparation book. You'll start off with a recap of some important cloud concepts, such as IaaS, PaaS, and SaaS. From there, you'll learn about each relevant solution area, with use cases. The chapters also cover different implementation methodologies, both manual and programmatic - ranging from compute resources such as App Service and serverless applications to storage, database, security, monitoring solutions, and connecting to third-party services.By the end of this book, you'll have learned everything you need to pass the AZ-204 certification exam and have a handy, on-the-job reference guide.What You Will Learn: Develop Azure compute solutionsDiscover tips and tricks from Azure experts for interactive learningUse Cosmos DB storage and blob storage for developing solutionsDevelop secure cloud solutions for AzureUse optimization, monitoring, and troubleshooting for Azure solutionsDevelop Azure solutions connected to third-party servicesWho this book is for: This book is for Azure developers looking to improve their Azure development knowledge to pass the AZ-204 exam. This book assumes at least one year of professional development experience with Azure, with the ability to program in at least one language supported by Azure. Existing Azure CLI and PowerShell skills will also be useful.
The Future of Heritage Science and Technologies: Ict and Digital Heritage
This volume constitutes the refereed proceedings of the Third International Conference on The Future of Heritage Science and Technologies, Florence Heri-Tech 2022, held in Florence, Italy, in May 2022. The 32 papers presented in this volume were thoroughly reviewed and selected from 101 submissions. They are organized in the topical sections on ​3D reconstruction of tangible cultural heritage and monitoring devices; IA and AR/VR based methods and applications for CH; methods and systems for enhancing heritage fruition and storytelling; virtual museums and virtual tours.
Multi-Agent Systems
This book constitutes thoroughly refereed and revised selected papers from the proceedings of 19th European Conference on Multi-Agent Systems, EUMAS 2022, held in D羹sseldorf, Germany, during September 14-16, 2022.The 23 full papers included in this book were carefully reviewed and selected from 36 submissions. The book also contains 6 short summaries of talks from PhD students at the PhD day. The papers deal with current topics in the research and development of multi-agent systems.
Natural Language Processing and Chinese Computing
This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022.The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.
Computational Intelligence for Cybersecurity Management and Applications
As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book's explanations of key topics. It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.
Cancer Prevention Through Early Detection
This book constitutes the refereed proceedings of the first International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022. The 16 papers presented at CaPTion 2022 were carefully reviewed and selected from 21 submissions. The workshop invites researchers to submit their work in the field of medical imaging around the central theme of early cancer detection, and it strives to address the challenges that are required to be overcomed to translate computational methods to clinical practice through well designed, generalizable (robust), interpretable and clinically transferable methods.
Machine Learning for Cybersecurity
This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
This book constitutes the refereed proceedings of the Fourth Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2022, held in conjunction with MICCAI 2022. The conference was hybrid event held from Singapore. For this workshop, 13 papers from 22 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022.The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology;Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging;Part III: Breast imaging; colonoscopy; computer aided diagnosis;Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I;Part V: Image segmentation II; integration of imaging with non-imaging biomarkers;Part VI: Image registration; image reconstruction;Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning - domain adaptation and generalization;Part VIII: Machine learning - weakly-supervised learning; machine learning - model interpretation; machine learning - uncertainty; machine learning theory and methodologies.
Pattern Recognition
This book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 - 30, 2022.The 37 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: ​machine learning methods; unsupervised, semi-supervised and transfer learning; interpretable machine learning; low-level vision and computational photography; motion, pose estimation and tracking; 3D vision and stereo; detection and recognition; language and vision; scene understanding; photogrammetry and remote sensing; pattern recognition in the life and natural sciences; systems and applications.
Systematic Innovation Partnerships with Artificial Intelligence and Information Technology
This book constitutes the refereed proceedings of the 22nd International TRIZ Future Conference on Automated Invention for Smart Industries, TFC 2022, which took place in Warsaw, Poland, in September 2022; the event was sponsored by IFIP WG 5.4.The 39 full papers presented were carefully reviewed and selected from 43 submissions. They are organized in the following thematic sections: New perspectives of TRIZ; AI in systematic innovation; systematic innovations supporting IT and AI; TRIZ applications; TRIZ education and ecosystem.
Natural Language Processing and Chinese Computing
This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022.The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.
Advances in Building Information Modeling
This book constitutes the refereed proceedings of the Second Eurasian BIM Forum on Advances in Building Information Modeling, EBF 2021, held in Istanbul, Turkey, during November 11-12, 2021.The 12 full papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: BIM adoption and design process; BIM for project and facilities management; BIM education; and novel viewpoints on BIM.
Machine Learning for Medical Image Reconstruction
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Perinatal, Preterm and Paediatric Image Analysis
This book constitutes the refereed proceedings of the First International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2021. The 10 full papers and 1 short papers presented at PIPPI 2022 were carefully reviewed and selected from 12 submissions. PIPPI 2022 workshop complements the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis, including the application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data.
Data Augmentation, Labelling, and Imperfections
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022.DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022.The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology;Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging;Part III: Breast imaging; colonoscopy; computer aided diagnosis;Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I;Part V: Image segmentation II; integration of imaging with non-imaging biomarkers;Part VI: Image registration; image reconstruction;Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning - domain adaptation and generalization;Part VIII: Machine learning - weakly-supervised learning; machine learning - model interpretation; machine learning - uncertainty; machine learning theory and methodologies.
Predictive Intelligence in Medicine
This book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022.The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
Cooperative Design, Visualization, and Engineering
This book constitutes the proceedings of the 19th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2022, held in September 2022. Due to COVId-19 pandemic the conference was held virtually.The 27 full papers and 7 short papers presented were carefully reviewed and selected from 64 submissions. The papers cover a wide application spectrum including architecture, engineering and construction (AEC), apace craft building, heavy industry, robotics, tourism, education, community building, medical supply industry, commerce, etc.
Knowledge Engineering and Knowledge Management
This book constitutes the refereed proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2022, held in Bolzano, Italy, in September 2022. The 11 full papers presented together with 5 short papers were carefully reviewed and selected from 57 submissions The previous event in the series, EKAW 2020, introduced a special theme related to "Ethical and Trustworthy Knowledge Engineering." This theme is still very relevant in 2022, and thus has remained one of the core topics of the conference.The conference concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and much more.
Medical Optical Imaging and Virtual Microscopy Image Analysis
This book constitutes the refereed proceedings of the 1st International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis, MOVI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022. The 18 papers presented at MOVI 2022 were carefully reviewed and selected from 25 submissions. The objective of the MOVI workshop is to promote novel scalable and resource-efficient medical image analysis algorithms for high-dimensional image data analy-sis, from optical imaging to virtual microscopy.
Graph-Based Representation and Reasoning
This book constitutes the proceedings of the 27th International Conference on Conceptual Structures, ICCS 2022, held virtually in September 2022.The 7 full papers and 1 short paper presented were carefully reviewed and selected from 25 submissions. The papers focus on the representation of and reasoning with conceptual structures in a variety of contexts.
