Soft Computing and Its Applications, Volume Two
This book will be highly useful to researchers in the area of pattern classification and computer vision as well as for academics and professionals. Combining theory and practice, the book presents several experimental results, all synthetic and real data, are provided on a unified platform for pattern classification and object recognition.
Verilog Hdl Design Examples
The Verilog language provides a means to model a digital system at many levels of abstraction from a logic gate to a complex digital system to a mainframe computer. The purpose of this book is to present the Verilog language together with a wide variety of examples, so that the reader can gain a firm foundation in the design of the digital system using Verilog HDL. The Verilog projects include the design module, the test bench module, and the outputs obtained from the simulator that illustrate the complete functional operation of the design. Where applicable, a detailed review of the theory of the topic is presented together with the logic design principles--including: state diagrams, Karnaugh maps, equations, and the logic diagram. Numerous examples and homework problems are included throughout. The examples include logical operations, counters of different moduli, half adders, full adders, a carry lookahead adder, array multipliers, different types of Moore and Mealy machines, and arithmetic logic units (ALUs).
Image Processing and Pattern Recognition Based on Parallel Shift Technology
This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these methods and theories, this book is intended to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications.
Embedded Systems Fundamentals with Arm Cortex-M based Microcontrollers
Give your students an understanding of the most important topics in embedded systems design using a coherent, compelling and hands-on approach. Now in its 2nd edition, this textbook has been updated on a new development board from STMicroelectronics - the Arm Cortex-M0+ based Nucleo-F091RC. Designed to be used in a one- or two-semester introductory course on embedded systems, the textbook covers fundamental topics including the CPU, interrupt systems, peripherals, serial communication and multi-tasking. Software examples in this textbook are written in C and the free version of Arm's Keil MDK-ARM integrated development environment is used throughout the materials.
Cleaning Data for Effective Data Science
A comprehensive guide for data scientists to master effective data cleaning tools and techniquesKey Features: Think about your data intelligently and ask the right questionsMaster data cleaning techniques using hands-on examples belonging to diverse domainsWork with detailed, commented, well-tested code samples in Python and RBook Description: In data science, data analysis, or machine learning, most of the effort needed to achieve your actual purpose lies in cleaning your data. Using Python, R, and command-line tools, you will learn the essential cleaning steps performed in every production data science or data analysis pipeline. This book not only teaches you data preparation but also what questions you should ask of your data.The book dives into the practical application of tools and techniques needed for data ingestion, anomaly detection, value imputation, and feature engineering. It also offers long-form exercises at the end of each chapter to practice the skills acquired.You will begin by looking at data ingestion of a range of data formats. Moving on, you will impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features that are necessary for successful data analysis and visualization goals.By the end of this book, you will have acquired a firm understanding of the data cleaning process necessary to perform real-world data science and machine learning tasks.What You Will Learn: Ingest and work with common tabular, hierarchical, and other data formatsApply useful rules and heuristics for assessing data quality and detecting biasIdentify and handle unreliable data and outliers in their many formsImpute sensible values into missing data and use sampling to fix imbalancesGenerate synthetic features that help to draw out patterns in your dataPrepare data competently and correctly for analytic and machine learning tasksWho this book is for: This book is designed to benefit software developers, data scientists, aspiring data scientists, and students who are interested in data analysis or scientific computing. Basic familiarity with statistics, general concepts in machine learning, knowledge of a programming language (Python or R), and some exposure to data science are helpful. The text will also be helpful to intermediate and advanced data scientists who want to improve their rigor in data hygiene and wish for a refresher on data preparation issues.
Vanet
This book addresses elements of VANET alongwith communication components, functionality and configuration, including issues like security, speed of message forwarding, priority-based forwarding, and malicious node detections and preventions supported by examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols.
Electric Circuits Problem Solver
This book contains a large number of selected problems in electric circuits (514 problems n 980 pages).. Emphasis is given to understanding not only the theorems, but also the basic techniques applied in the analysis of electric circuits. Thus, each problem is analytically solved by choosing the most appropriate technique. When students successfully complete the study of this book, they will have a good working knowledge of basic circuit principles and a demonstrated ability to solve a variety of circuit-related problems.I hope this book will be of help for students and will become a useful tool for their study.
Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences
Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.
Introduction to High-Dimensional Statistics
Praise for the first edition: "[This book] succeeds singularly at providing a structured introduction to this active field of research. ... it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. ... recommended to anyone interested in the main results of current research in high-dimensional statistics as well as anyone interested in acquiring the core mathematical skills to enter this area of research."-Journal of the American Statistical Association Introduction to High-Dimensional Statistics, Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field, and much progress has been made on a large variety of topics, providing new insights and methods. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this new edition: Offers revised chapters from the previous edition, with the inclusion of many additional materials on some important topics, including compress sensing, estimation with convex constraints, the slope estimator, simultaneously low-rank and row-sparse linear regression, or aggregation of a continuous set of estimators. Introduces three new chapters on iterative algorithms, clustering, and minimax lower bounds. Provides enhanced appendices, minimax lower-bounds mainly with the addition of the Davis-Kahan perturbation bound and of two simple versions of the Hanson-Wright concentration inequality. Covers cutting-edge statistical methods including model selection, sparsity and the Lasso, iterative hard thresholding, aggregation, support vector machines, and learning theory. Provides detailed exercises at the end of every chapter with collaborative solutions on a wiki site. Illustrates concepts with simple but clear practical examples.
Hybrid Image Processing Methods for Medical Image Examination
This book focuses on implementation of a possible Hybrid Image Examination technique for medical images describing various image thresholding and segmentation methods along with essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, supported by pertinent case studies.
Low Power Semiconductor Devices and Processes for Emerging Applications in Communications, Computing, and Sensing
The book addresses the need to investigate new approaches to lower energy requirement in multiple application areas and serves as a guide into emerging circuit technologies. It explores revolutionary device concepts, sensors, and associated circuits and architectures that will greatly extend the practical engineering limits of energy-efficient computation. The book responds to the need to develop disruptive new system architectures and semiconductor processes aimed at achieving the highest level of computational energy efficiency for general purpose computing systems.Discusses unique technologies and material only available in specialized journal and conferences.Covers emerging materials and device structures, such as ultra-low power technologies, nanoelectronics, and microsystem manufacturing.Explores semiconductor processing and manufacturing, device design, and performance.Contains practical applications in the engineering field, as well as graduate studies.Written by international experts from both academia and industry.
Handbook of Mixture Analysis
Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy.Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the field The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.
Real-Time Digital Signal Processing from MATLAB to C with the Tms320c6x Dsps
This updated edition gives readers hands-on experience in real-time DSP using a practical, step-by-step framework that also incorporates demonstrations, exercises, and problems, coupled with brief overviews of applicable theory and MATLAB applications. Organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices, this new edition provides support for the most recent and powerful of the inexpensive DSP development boards currently available from Texas Instruments: the OMAP-L138 LCDK. It includes two new real-time DSP projects, as well as three new appendices: an introduction to the Code Generation tools available with MATLAB, a guide on how to turn the LCDK into a portable battery-operated device, and a comparison of the three DSP boards directly supported by this edition.
Security and Privacy in the Internet of Things
This book provides a comprehensive study of the security and privacy research advancements in Internet of Things. The book lays the context for discussion by introducing the vulnerable intrinsic features of IoT. The book will give an in-depth insight in to what has happened, what new is happening and what opportunities exist in the field.
5g Radio Access Network Architecture
Written by an industry insider with state of the art research at their fingertips, this book describes the Radio Access Network (RAN) architecture, starting with currently deployed 4G, followed by the description of 5G requirements and why re-thinking of the RAN architecture is needed to support these. Based on these considerations, it explains how 5G network architecture, which is currently being defined, is likely to evolve. The aim is not merely to cover relevant standards and technologies as a purely academic exercise (although a significant part of the book will be dedicated to these), but to augment these by practical deployment, to illustrate why the RAN architecture is changing and where it is going. With 5G deployments on the horizon, there is a desire within companies to both re-think the RAN architecture and to change the proprietary nature of the RAN. Correspondingly, there is increased interest in academia, standards bodies and commercial entities involved in the area.
Intelligent Virtual System for Underwater Vehicle Piloting Using Unity
This book supports the readers in the development of remotely operated vehicle (ROV) pilot training simulator by exploiting open source or free gaming software and the importance of using established and widely available games design techniques in providing engaging scenarios for the ROV training developers and trainees.
Green Computing and Predictive Analytics for Healthcare
The emergent trends in Green Cloud Computing lead to new developments in various application domains, mainly in healthcare. The aim of this book is to collect innovative and high-quality research contributions related to the advances in the energy-aware cloud-enabled healthcare domain.
Wireless Sensor Networks
Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an　integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN).　Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book.　 　 Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the lifetime of the WSN.　It creates　interdisciplinary theory, concepts, definitions, models and findings involved in　WSN and Bio-inspired algorithms making it an essential guide and reference. It includes various WSN examples making the book accessible to a broader interdisciplinary readership. 　 The book offers comprehensive coverage of the most essential topics, including: Evolutionary algorithms Swarm intelligence　 Hybrid algorithms Energy efficiency in WSN Load balancing of gateways Localization Clustering and routing Designing fitness functions according to the issues in WSN. 　 The book explains about practices of shuffled complex evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by bio-inspired approaches to innovation and learning in the area of WSN. This book serves as a reference book for scientific investigators who shows an interest in evolutionary computation and swarm intelligence as well as issues and challenges in WSN.　
Cloud Computing Security
This handbook offers a comprehensive overview of cloud computing security technology and implementation while exploring practical solutions to a wide range of cloud computing security issues. As more organizations use cloud computing and cloud providers for data operations, the need for proper security in these and other potentially vulnerable areas has become a global priority for organizations of all sizes. Research efforts from academia and industry, as conducted and reported by experts in all aspects of security related to cloud computing, are gathered within one reference guide.Features- Covers patching and configuration vulnerabilities of a cloud server- Evaluates methods for data encryption and long-term storage in a cloud server- Demonstrates how to verify identity using a certificate chain and how to detect inappropriate changes to data or system configurationsJohn R. Vacca is an information technology consultant and internationally known author of more than 600 articles in the areas of advanced storage, computer security, and aerospace technology. John was also a configuration management specialist, computer specialist, and the computer security official (CSO) for NASA's space station program (Freedom) and the International Space Station Program from 1988 until his retirement from NASA in 1995.
Distributed Systems
This pivotal book provides a highly accessible, balanced treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language of the Second Edition is kept as unobscured as possible-clarity is given priority over mathematical formalism. Containing significant updates that mirror
python
✓ Are you looking for a beginner's guide? ✓ Do you want to learn how to use python for beginners in a simple way? ✓ Do you want to enter into the new world of Python for beginners in an efficient and effective way? ★★★This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Data AnalysisWeb Applications2D Game DevelopmentCreating Software DistributionCreating a 2d gameBasic data analysisSet up djangoUsing panda frameworkMouse automationKeyboard automationError types Big Data and why it is the path for the future in data scienceBasics of Python for Data AnalysisNumPy2-D and 3-D arraysSciPyLinear AlgebraPandasOperationsPython IDEImportance of MetadataMachine Learning AlgorithmsBasics of PythonGetting Started with Machine learningWhat is machine learningInstalling machine libraries in your systemSupervised Machine Learning for Discrete Class LabelMachine learning methods ★★★★★This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!★★★★★Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm. ⚠⚠⚠⚠⚠ Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it !!!!⚠⚠⚠⚠⚠
Machine Learning
Have you heard several times people talking about machine learning but you only have a vague idea of what it is? Don't worry, you are not the only one.Machine Learning is growing exponentially and it's getting a crucial role both in the business and in the computer networking domain.Therefore, it's no longer possible to ignore it and it's time for you to sit down and understand its practical implications and potentials.This bundle is a collection of 3 books to help those readers who have no technical background in the field of Machine Learning but want to improve their knowledge of this new amazing technology and its related topics (such as Artificial Intelligence, Deep Learning, Computer Networking).Included in this bundle are: Machine Learning for beginners: Machine Learning Basics for Absolute Beginners. Learn What ML Is and Why It Matters. Notes on Artificial Intelligence and Deep Learning are also included.Artificial Intelligence and Machine Learning for Business: How modern companies approach AI and ML in their business and how AI and ML are changing their business strategy.Networking for beginners: Be Familiar with Computer Network Basics. Learn What a Computer Network is, Why It Matters and How Networking May Raise a Challenge to Machine LearningIf you are willing to know how the new technologies are changing the world around you, scroll up to the page and push the BUY now button!
python programming crash course
Are you looking for a beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Data AnalysisWeb ApplicationsGUI Creation2D Game DevelopmentCreating Software DistributionCreating a 2d gameBasic data analysisSet up djangoTaking control of keyboard and mouseExcelWebsitesWorking with numpyMathematical conceptsShifting gearsGui for file and computer peripheral controlGame designBuilding the gameCSVUsing panda frameworkAnacondaCanopyWinPythonMouse automationKeyboard automationError typesJupyterData Munging with PandasThe ProcessImporting DatasetsData PreprocessingSupervised Learning Algorithms This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal! Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it.
python data analytics
Are you looking for a beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Basics of Python for Data AnalysisNumPy2-D and 3-D arraysSciPyLinear AlgebraPandasOperationsPython IDEAtomEclipseVariables and Data TypesDecision Making and Basic OperatorsObject Oriented ProgrammingRegular ExpressionsData HandlingLoad date from different server such as CSV, URL or SQLPython AggregationBuilding Machine Learning ModelsData ScienceData PipelinesData SegregationImportance of MetadataMachine Learning AlgorithmsScikit LearnEffective Data VisualizationEvaluating Accuracy of the ModelAdvantages of Na簿ve BayesK-Means ClusteringExpectation-Minimization AlgorithmMean Shift AlgorithmArtificial Neural NetworksDeep Neural NetworksArchitecture of ANN'sData Science in Real WorldVirtual AssistantsRisk and Fraud DetectionData Analytics in DetailTypes and Categories of Data AnalyticsSteps in Data MiningData Science Lifecycle and Model BuildingImproving Data Science ModelsDetermine ProblemsSearch for More DataDeep Learning and BusinessModel InterpretabilityAutonomous VehiclesFinding Useful DataBig DataThis book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it.
python for data science
Are you looking for a beginners guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications.In This book you will learn: Python setupAnacondaWinpythonData science packegesJupyterData munging with pandasThe processImporting datasetsData preprocessingThe data science pipelinePrincipal component analysisSupervised learning algorithmsAnalyzing big dataNeural networks structuresClassification and regression treesThe overfitting problemNew featuresNa簿ve bayes classifierLinear regressionLogistic regressionSupport vector machineApplications in the real worldPruningData selection This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.
python machine learning
Are you looking for beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way?This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Machine Learning AlgorithmsBasics of PythonGetting Started with Machine learningWhat is machine learningInstalling machine libraries in your systemSupervised Machine Learning for Discrete Class LabelMachine learning methodsK-Nearest NeighborsDecision TreeSupport Vector MachineNaive Bayes ClassificationLogistic RegressionNeural NetworkSupervised Machine Learning for Continuous Class LabelRegression ModelsUnsupervised Machine LearningUnderstanding and challengesDimension ReductionClustering ModelsWorking with Text DataRepresenting Text Data as bags of wordsStopwordsMachine Learning Real World ApplicationsThis book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it.
python for beginners
Are you looking for a beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python data science as a beginner in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: ● Data Analysis● Web Applications● GUI Creation● 2D Game Development● Creating Software Distribution● Creating a 2d game● Basic data analysis● Set up django● Taking control of keyboard and mouse● Excel● Websites● Working with numpy● Mathematical concepts● Shifting gears● Gui for file and computer peripheral control● Game design● Building the game● CSV● Using panda framework● Mouse automation● Keyboard automation● Error typesThis book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal! Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal.in a few days you will be able to learn it.
ACSL Contests 2019-2020
This book presents the 2019-2020 contests organized by the American Computer Science League. ACSL offers 5 divisions to appeal to the variety of abilities of middle school and high school students. Contests consist of two parts: short problems that cover fundamental concepts in computer science and a programming problem, where students solve a specific problem by writing a computer program in a language of their choice. The fundamental computer science topics covered in the short problem tests include Assembly Language Programming, Bit-String Flicking, Boolean Algebra, Computer Number Systems, Data Structures, Digital Electronics, FSAs and Regular Expressions, Graph Theory, LISP, Prefix/Infix/Postfix Notation, Recursive Functions, and What Does This Program Do? There were four regular season contests, held at each participating school. At the end of the season, the top students were invited to participate in an online all-star competition. This book is organized contest by contest. In each contest, the problems and solutions are organized by division.
Python 201
This book is a sequel to Python 101. It will help you grow in your abilities as a Python programmer as it introduces intermediate and advanced topics such as function overloading, Unicode, caching, benchmarking, testing, concurrency and much more!
Google Analytics Kickstarter Guide
Leverage Google Analytics to make data-driven decisions to shape your marketing strategy Key FeaturesLearn how to navigate the Google Analytics interface and reports. Understand the working of the Google Analytics platform. Understanding 'Traffic Sources' in Google Analytics. Learn how to use Segments in Google Analytics. Understand how Cross-Device reporting works in Google Analytics.DescriptionThis book will help you learn everything that you need to know about Google Analytics. We will start by setting up the account and updating the settings. Then, we will go through the main reports in Google Analytics will dive deep into the analysis. We will then analyze the users, their behavior, and their sources. This analysis will improve your business and website results. We will also go through the fundamentals of relating Google Analytics data to your marketing strategy. We will explore live examples of analysis with real Ecommerce data and learn approaches to analyze our data. At the end of the book, we will go through the Conversions section in Google Analytics. By the end of the book, you will be able to make informative decisions based on data related to your website visitors. What will you learn Learn how to set-up a Google Analytics account. Understand how to read all the reports in Google Analytics. Perform complex analysis based on the data in the reports. Learn how to relate the Google Analytics data to your marketing strategy.Read and analyze Conversion reports based on real Ecommerce data. Who this book is for This book is designed for business owners and webmasters who want to use Google Analytics to make better decisions and improve their sales. Table of Contents 1. Google Analytics Step-by-step setup.2. Google Analytics reports explained.3. 7P's of Marketing and Google Analytics.4. Your audience - your business.5. The heartbeat of the Google Analytics: Acquisition & Behavior Reports.6. Conversions. The final goal.About the Author Grigor Yovov is a certified Google Ads and Google Analytics expert and a bachelor in Marketing. He has over 20,000 students from 153 countries in the world's biggest learning platform Udemy, where he creates courses related to Google Ads, Google Analytics and Business Development. In 2011 he founded his own digital marketing agency called Business Trend serving clients all around the world. Your Blog links: http: //howtoads.com/Your LinkedIn Profile: linkedin.com/in/grigor-yovov-digital-marketer
Topics in Theoretical Computer Science
This book constitutes the refereed proceedings of the Third IFIP WG 1.8 International Conference on Topics in Theoretical Computer Science, TTCS 2020, held in Tehran, Iran, in July 2020. The conference was held virtually due to the COVID-19 pandemic. The 8 papers presented in this volume were carefully reviewed and selected from 24 submissions. They focus on novel and high-quality research in all areas of theoretical computer science, such as algorithms and complexity; logic, semantics, and programming theory; and more.
Computer Simulation
Computer simulation is an effective and popular universal tool that can be applied to almost all disciplines. Requiring only basic knowledge of programming, mathematics, and probability theory, Computer Simulation: A Foundational Approach Using Python takes a hands-on approach to programming to introduce the fundamentals of computer simulation. The main target of the book is computer science and engineering students who are interested mainly in directly applying the techniques to their research problems. The book will be of great interest to senior undergraduate and starting graduate students in the fields of computer science and engineering and industrial engineering.
A Beginner’s Guide to Image Preprocessing Techniques
For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed.Key Features Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description Includes image data pre-processing for neural networks and deep learning Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline Details complications to resolve using image pre-processing
Arduino-Based Embedded Systems
Arduino is an open-source electronics platform based on easy-to-use hardware and software while LabVIEW is a graphical programming telling how to connect functions and work with a variety of datatypes when constructing applications.This book will help beginners to get started with Arduino-based embedded systems including essential know-how of the programming and interfacing of the devices. Book includes programming and simulation of Arduino-based projects and interfacing with LabVIEW, based on practical case studies. The book comprises of total twenty five chapters with description, working model of LabVIEW and programming with Arduino IDE.
Modern Directional Statistics
Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory.The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory, high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference, flexible modeling, directional statistics and the study of asymptotic approximations via Stein's Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Soci矇t矇 Fran癟aise de Statistique and an elected membership at the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis and Econometrics and Statistics.Thomas Verdebout is professor of mathematical statistics at Universit矇 libre de Bruxelles (ULB). His main research interests are semi-parametric statistics, high- dimensional statistics, directional statistics and rank-based procedures. He has won an annual prize of the Belgian Academy of Sciences and is an elected member of the International Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.
Introduction to Modeling and Simulation with Matlab(r) and Python
The book introduces the principles of mathematical modeling in science, engineering, and social science as well as basic skills of computer programming. The book is aimed at majors in STEM disciplines that need to understand how to create, analyze, and test mathematical models.
Handbook of Approximation Algorithms and Metaheuristics
Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems.Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more.About the EditorTeofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.
Visual Tracking in Conventional Minimally Invasive Surgery
Visual Tracking in Conventional Minimally Invasive Surgery introduces the various tools and methodologies that can be used to enhance a conventional surgical setup with some degree of automation. The main focus of this book is on methods for tracking surgical tools and how they can be used to assist the surgeon during the surgical operation. Various notions associated with surgeon-computer interfaces and image-guided navigation are explored, with a range of experimental results.The book starts with some basic motivations for minimally invasive surgery and states the various distinctions between robotic and non-robotic (conventional) versions of this procedure. Common components of this type of operation are presented with a review of the literature addressing the automation aspects of such a setup. Examples of tracking results are shown for both motion and gesture recognition of surgical tools, which can be used as part of the surgeon-computer interface. In the case of marker-less tracking, where no special visual markers can be added to the surgical tools, the tracking results are divided into two types of methodology, depending on the nature and the estimate of the visual noise. Details of the tracking methods are presented using standard Kalman filters and particle filters.The last part of the book provides approaches for tracking a region on the surgical scene defined by the surgeon. Examples of how these tracking approaches can be used as part of image-guided navigation are demonstrated. This book is designed for control engineers interested in visual tracking, computer vision researchers and system designers involved with surgical automation, as well as surgeons, biomedical engineers, and robotic researchers.
New Directions in Behavioral Biometrics
Automatic biometrics recognition techniques are increasingly important in corporate and public security systems and have increased in methods due to rapid field development. This book discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical approaches, and dynamic applications. This future-looking book is an important reference tool for researchers, practitioners, academicians, and technologists. While there are existing books that focus on physiological biometrics or algorithmic approaches deployed in biometrics, this book addresses a gap in the existing literature for a text that is solely dedicated to the topic of behavioral biometrics.
Behavior Trees in Robotics and AI
This is the first book on Behavior Trees (BTs) in robotics and AI.
Handbook of Robust Low-Rank and Sparse Matrix Decomposition
This handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It offers a framework for computer vision applications, including image processing and video surveillance, and describes many methods and algorithms to tackle different formulation proble
Machine Learning
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.
Risks of Artificial Intelligence
If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals.The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence, followed by a discussion (Armstrong/Sokala/?h?igeartaigh) on how predictions of its future have fared to date. Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity, or a useful tool? Ways to assure beneficial outcomes through 'machine ethics' and 'utility functions' are discussed by Brundage and Yampolskiy. B. Goertzel and Potapov/Rodionov propose 'learning' and 'empathy' as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the 'fast takeoff' of artificial intelligence and, finally, Bishop explains why there is no need to worry because computers will remain in a state of 'artificial stupidity'. Sharing insights from leading thinkers in artificial intelligence, this book provides you with an expert-level perspective of what is on the horizon for AI, whether it will be a threat for humanity, and how we might counteract this threat.
Handbook of Approximation Algorithms and Metaheuristics
Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, and other metaheuristics.
