Machine learning

This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics.

Learn how cutting-edge AI and data science techniques are integrated in financial markets from leading experts in the industry.

This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways.

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)-aided IoT solutions for business and production.

The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition - a task that humans perform routinely and effortlessly in our daily lives - still poses great challenges, especially in unconstrained conditions.

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications.

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4.

This book will show how generative technology works and the drivers.

The world stands at a pivotal moment due to the emergence of Generative AI, specifically ChatGPT.

Electronic device usage has increased considerably in the past two decades.

This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

The book provides a comprehensive overview of cyber security in Industry 5.

Machine translation of natural languages is one of the most complex and comprehensive applications of computational linguistics and artificial intelligence.

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.

This book contains the proceedings of 5th International Conference on Advances in AI for Biomedical Instrumentation, Electronics and Computing (ICABEC - 2023), which provided an international forum for the exchange of ideas among researchers, students, academicians, and practitioners.

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance.

Constraint satisfaction is a simple but powerful tool.

The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies.

Gain a working knowledge of prescriptive AI, its history, and its current and future trends.

Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game.

This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries.

Intelligent agents are employed as the central characters in this new introductory text.

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT.

This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries.

Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities.

Advances in artificial intelligence (AI), widespread mobile devices, internet technologies, multimedia data sources, and information processing have led to the emergence of multimedia processing.

Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning.

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models.

Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories.

This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications.

This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security.

It has become difficult to ignore the analytics movement within the NFL.

This book explores the dynamic interplay between fractals and graph theory, two powerful mathematical tools with vast applications.

This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business and economics.

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.

The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning.

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.

The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges.

The primary goal of this text is a practical one.

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting.

Artificial intelligence (AI) is revolutionizing our daily lives, thanks to remarkable advancements in research and the widespread adoption of interactive technologies.

Our ability to generate and collect data has been increasing rapidly.

This book offers a comprehensive introduction to the central ideas that underpin deep learning.

Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years.

In den letzten Jahren ist die Sportinformatik extrem gewachsen, vor allem weil immer mehr und neuere Daten verfügbar wurden.

This book includes selected peer reviewed articles from The 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), held on 29th  and 30th  April 2022 in Hyderabad, India.