Machine learning Books

This book shows how to plan trajectories (i.e. time-dependent paths) for autonomous robots using a dynamic model within the A* framework. It develops a paradigm called Sampling Based Model Predictive Optimization (SBMPO). For researchers, engineers, and...

This book examines the digital transformation of the sports industry. It explores the digital and technological changes that will shape the sports industry for years to come. Topics covered include digital innovation, AI, machine learning, optimization,...

The first book to focus on logo recognition, this text presents a new logo recognition system based on line pattern features. To achieve the desired accuracy and efficiency, the system employs a conceptually simple three-stage hierarchy that includes...

This book provides an essential edited work regarding the latest advancements in explainable artificial intelligence (XAI) for biomedical applications.

The journey towards the autonomous enterprise has begun; there are already companies operating in a highly automated way. Every corporate decision-maker will need to understand the opportunities and risks that the autonomous enterprise presents, to learn...

Covers key algorithms and techniquesIdeal for students and professionalsHands-on implementation includedMaster the fundamentals of ML and take the first step towards a career in AI!In today's rapidly evolving world, machine learning (ML) is no longer...

This book discusses the major approaches, algorithms, and technologies used in automated face detection and recognition. Explaining the theory and practice of systems currently in vogue, the text covers face detection with colour and infrared face...

Suitable for the general reader, Understanding the Artificial Intelligence Revolution: Between Catastrophe and Utopia is the ideal book for anyone seeking a clear and informed introduction to AI.

This book explores the groundbreaking integration of generative artificial intelligence into filmmaking and visual storytelling. From democratizing video production to reshaping aesthetics, this book highlights the creative revolution AI offers.

The AI Music Problem: Why Machine Learning Conflicts With Musical Creativity asks why producing and constructing music is difficult for AI, with an investigation that straddles the technical, the musical, and the aesthetic.

In today's digital age, companies need to adopt cutting-edge artificial intelligence solutions to effectively detect and counter potential threats. This handbook brings together a team of experts to discuss insights on proactive strategies, threat...

This book examines the transformative potential of integrating Explainable Artificial Intelligence (XAI) and blockchain technology in modern supply chain management. It is as a valuable resource for academics, industry leaders, and policymakers seeking...

Understanding Artificial Minds through Human Minds provides an introduction into artificial intelligence through the lens of psychology.

<p>The ACM Symposium on Principles of Distributed Computing (PODC) is the premier interna-tional forum on the theory, design, analysis, implementation and application of distributed systemsand networks. PODC is sponsored by the ACM Special Interest...

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language –...

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...

Present anti-virus technologies do not have the symmetrical weaponry to defeat massive DDoS attacks on smart cities. Smart cities require a new set of holistic and AI-centric cognitive technology, such as autonomic components that replicate the human...

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...

Computability theory is at the heart of theoretical computer science. Yet, ironically, many of its basic results were discovered by mathematical logicians prior to the development of the first stored-program computer. As a...

This book sheds light on the optimisation methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to...

Intelligent and sustainable manufacturing employs computer-integrated manufacturing, digital information technology, flexible technical workforce training, and rapid design changes. This handbook provides a compiled knowledge of intelligent and...

This book focuses on how to use various data mining techniques to develop real-world applications. It offers practical applications with a clear understanding of data mining concepts. The book also has a special chapter on case studies of data mining in...

The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of...

This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such...

This reference text aims to systematically collect quality research spanning AI, ML and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more...

The most common form of severe dementia, Alzheimer's disease (AD), is a cumulative neurological disorder.

This book focuses on the application of soft computing in materials and manufacturing sectors with the objective to offer an intelligent approach to improve the manufacturing process, material selection and characterization techniques for developing...

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI...

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...

It is widely believed that Artificial Intelligence (AI) and its applications will revolutionize healthcare and medicine. This book provides a comprehensive overview on the recent developments on clinical decision support systems, precision health and...

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and...

Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE...

Written by specialists in teaching computer animation, this text addresses key international topics of computer animation, such as: mathematics, modelling, rendering, and compositing. Each chapter discusses a particular topic...

Are you interested in Machine Learning? Are you fascinated by how robots work? Are you ready to open up to the dynamics of technological change?Machine Learning has been approached in a definitive manner as a subset falling under a larger set of...

This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch.

WSN and IoT: An Integrated Approach for Smart Applications discusses the integration of IoT and WSN which enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of ML, AI, deep learning, and blockchain...

This handbook offers a cross-disciplinary perspective, models, and innovations in telehealth systems that utilize AI technologies such as Machine Learning, Augmented Reality, Virtual Reality, Big Data Management, and IoT as it discusses various methods...

This book is a comprehensive guide that explores the ground-breaking applications of virtual reality (VR), augmented reality (AR), and mixed reality (MR) in various industries. This book aims to equip practicing professionals with the knowledge to...

This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling,...

This book discusses various vision systems, their classifications and design strategies. It is essential reading for academic and industrial researchers to understand the computational intelligence research domain as related to vision systems and their...

This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary.