Machine Learning

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The...

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The...

Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive...

This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques along with the emerging platform of the Internet of...

Revolutionizing Communication: The Role of Artificial Intelligence explores the wide-ranging effects of artificial intelligence (AI) on how we connect and communicate, changing social interactions, relationships, and the very structure of our society...

This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more...

An exploration of machine learning advancements. It covers many aspects in machine learning, along with the applications in healthcare, in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock...

In this comprehensive and cutting-edge volume, Jeon and Qureshi bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that...

This book delves into the critical realm of trust management within the Internet of Vehicles (IOV) networks, exploring its multifaceted implications on safety and security which forms part of the intelligent transportation system domain.IoV emerges as a...

Blockchain and cryptocurrency have become the most revolutionary technologies of the 21st century, potentially transforming how we conduct business, manage assets, and exchange value. The emergence of these technologies has challenged traditional systems...

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.It enables beginners to construct practical, real-world solutions powered by...

This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including...

Applying Artificial Intelligence (AI) to new fields has made AI and data science indispensable to researchers in a wide range of fields. The proliferation and successful deployment of AI algorithms are fueling these changes, which can be seen in fields...

An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a start-to-finish instruction book with complete coverage of the...

This book aims to provide a comprehensive overview of the various services that are available to help cities develop their smart communities. It includes a variety of topics such as artificial intelligence, blockchain, advanced computing, and the...

By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven...

Finance Transformation: Leadership on Digital Transformation and Disruptive Innovation is a general and wide-ranging survey of Finance Transformation and Emerging Technologies. Finance and IT have long been important areas of any business, but recent...

Federated Learning: Unlocking the Power of Collaborative Intelligence is a definitive guide to the transformative potential of federated learning. This book delves into federated learning principles, techniques, and applications, and offers practical...

Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language of mathematics. The book provides a self-contained background on machine learning and optimization algorithms, and progresses through...

The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as...

Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of artificial intelligence (AI). The rise of AI and super-intelligent AI has created an urgent need to understand the many and varied ethical...

This book serves as an introduction to the science and applications of Large Language Models (LLMs). You'll discover the common thread that drives some of the most revolutionary recent applications of artificial intelligence (AI): from conversational...

This book delves into the critical realm of trust management within the Internet of Vehicles (IOV) networks, exploring its multifaceted implications on safety and security which forms part of the intelligent transportation system domain.IoV emerges as a...

Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between...

Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven...

Fostering Women's Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey uniquely intertwines academic rigour with real-world impact, offering a comprehensive exploration of science, technology, engineering, and mathematics...

Finance Transformation: Leadership on Digital Transformation and Disruptive Innovation is a general and wide-ranging survey of finance transformation and emerging technologies. Finance and IT have long been important areas of any business, but recent...

Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven...

The use of intelligence in manufacturing has emerged as a fascinating subject for academics and businesses everywhere. This book focuses on various manufacturing operations and services which are provided to customers to achieve greater manufacturing...

Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of artificial intelligence (AI). The rise of AI and super-intelligent AI has created an urgent need to understand the many and varied ethical...

The main aim of the 2nd international conference on recent advances in materials manufacturing and machine learning processes-2023 (RAMMML-23) is to bring together all interested academic researchers, scientists, engineers, and technocrats and provide a...