Machine learning

The rise in living standards increases the expectation of people in almost every field.

The rise in living standards increases the expectation of people in almost every field.

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT.

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT.

The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis.

The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis.

Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language.

Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language.

Big geospatial datasets created by large infrastructure projects require massive computing resources to process.

Big geospatial datasets created by large infrastructure projects require massive computing resources to process.

With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines use data science at some level.

With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines use data science at some level.

The leveraging of artificial intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science.

The leveraging of artificial intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science.

Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program.

Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program.

Surface engineering is considered an important aspect in the reduction of friction and wear.

Surface engineering is considered an important aspect in the reduction of friction and wear.

This handbook represents a collection of previously published technical journal articles of the highest caliber originating from the Air Force Institute of Technology (AFIT).

This handbook represents a collection of previously published technical journal articles of the highest caliber originating from the Air Force Institute of Technology (AFIT).

Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas - especially finance.

Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas - especially finance.

This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques.

This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques.

Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method.

Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method.

Computer Vision and Image Analysis, focuses on techniques and methods for image analysis and their use in the development of computer vison applications.

Computer Vision and Image Analysis, focuses on techniques and methods for image analysis and their use in the development of computer vison applications.

This book is designed as a reference book and presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms.

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down.

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud.

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.

This book provides insights into contemporary issues and challenges in multi-criteria decision models.

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation.

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation.

This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications.

The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities.

Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering, etc.

Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering, etc.

Security Analytics for the Internet of Everything compiles the latest trends, technologies, and applications in this emerging field.

Security Analytics for the Internet of Everything compiles the latest trends, technologies, and applications in this emerging field.

This book deals with a different research area of cognitive IoT and explains how machine learning algorithms can be applied for cognitive IoT.

Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior.

Choice Recommended Title, January 2021This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today.

Choice Recommended Title, January 2021This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today.

Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms.

Going beyond the traditional field of robotics to include other mobile vehicles, this reference and "e;recipe book"e; describes important theoretical concepts, techniques, and applications that can be used to build truly mobile intelligent autonomous systems (MIAS).