Artificial intelligence

The book presents a comprehensive overview of emerging IoT technologies, IoT devices and sensors and their role in the healthcare industry.

This book examines the potential benefits of cyber-physical systems (CPSs) and their applications for rural development.

This book is a guide to Storycasting for futures and forecasting practitioners.

This book brings together leading experts, academics, and industry professionals to explore how AI is transforming decision-making, data analytics, operations, and strategic management across diverse sectors.

This book explores the intersection of artificial intelligence and sustainable finance, offering a comprehensive analysis of AI's transformative impact on the global financial landscape.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

Signal Processing in Medicine and Biology: Applications of Deep Learning to the Health Sciences presents expanded versions of selected papers from the 2023 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) at Temple University.

Artificial Intelligence (AI) is revolutionizing the education industry, particularly in understanding and enhancing student learning engagement in online learning.

This book comprehensively discusses the latest trends and developments in healthcare applications, including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology.

This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems.

Praise for the first edition:"e;In nine succinct but information-packed chapters, the authors provide a logically structured and robust introduction to the mathematical and statistical methods underpinning the still-evolving field of AI and data science.

Generative AI and Creativity: From Theory to Practice is an immersive exploration into the revolutionary domain of generative artificial intelligence.

The rapid progress in the field of large multimodal foundation models, especially vision-language models, has dramatically transformed the landscape of machine learning, computer vision, and natural language processing.

This book examines the potential benefits of cyber-physical systems (CPSs) and their applications for rural development.

Unlock the power of Mistral models by building embeddings, RAG systems, and coding assistants that deliver real-world AI solutions.

This book explores the intersection of artificial intelligence and sustainable finance, offering a comprehensive analysis of AI's transformative impact on the global financial landscape.

The subject of this book centres around trustworthy machine learning under imperfect data.

Securing Health: The Convergence of AI and Cybersecurity in Healthcare explores how emerging technologies are revolutionizing modern medicine, ensuring not just innovation but safety and trust in the digital age.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

The book presents a comprehensive overview of emerging IoT technologies, IoT devices and sensors and their role in the healthcare industry.

This book examines the transformative impact of generative AI on cultural production, with a particular focus on how AI technologies like ChatGPT are reshaping the creation of popular culture.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence.

Smart technologies such as artificial intelligence, machine learning, and computer intelligence are shaping the future of Industry 5.

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector.

This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems.

The rapid progress in the field of large multimodal foundation models, especially vision-language models, has dramatically transformed the landscape of machine learning, computer vision, and natural language processing.

Business operations today show evidence of profound DNA-level transformations brought about by existing artificial intelligence (AI) technology.

As artificial intelligence advances at an exponential pace, understanding data science and machine learning has become increasingly essential.

Smart technologies such as artificial intelligence, machine learning, and computer intelligence are shaping the future of Industry 5.

This book is a guide to Storycasting for futures and forecasting practitioners.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

Unlock the power of Mistral models by building embeddings, RAG systems, and coding assistants that deliver real-world AI solutions.

Advanced Hydraulic Engineering: Applications and Optimization is a comprehensive resource that delves into the advanced principles, methodologies, and real-world applications of hydraulic engineering.

This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines.

This book comprehensively discusses the latest trends and developments in healthcare applications, including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology.

Securing Health: The Convergence of AI and Cybersecurity in Healthcare explores how emerging technologies are revolutionizing modern medicine, ensuring not just innovation but safety and trust in the digital age.

PROMPTED is a clear and practical guide that makes AI interaction accessible to a wide audience.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

This book presents high-quality research in the field of 3D imaging technology.

This proceedings volume presents 41 high-quality research contributions at the forefront of soft computing theory and applications and real-world impact.

This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content.

In today's rapidly evolving digital landscape, banks are not only financial institutions but also technology-driven enterprises.

As artificial intelligence advances at an exponential pace, understanding data science and machine learning has become increasingly essential.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence.

This book aims to illustrate the value of design in a systematic and scientific manner to reap the full benefits of design.

AI-Driven Sustainability: The Future of Human Resources Management is an interdisciplinary publication that demonstrates the artificial intelligence phenomenon or AI in the sustainable shaping of human resources management.

Much of what is said about AI is misleading - or just plain wrong.

This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration.