Computer science

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

This two-volume set LNAI 16093-16094 constitutes the proceedings of the 19th European Conference on Logics in Artificial Intelligence, JELIA 2025, held in Kutaisi, Georgia, during September 1–4, 2025.

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.

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

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.

The book showcases the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, transfer learning, human-artificial intelligence collaboration, and sentiment analysis.

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.

Posthuman Social Science and Computational Culture offers theoretical and practical insight into posthuman social science research methods, addressing new challenges in computational culture.

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.

Crypto Engine Design is a deep dive into cryptographic hardware architectures, providing a structured approach to secure computing.

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

In today's hyperconnected world, digital threats lurk in every corner of cyberspace.

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.

In an era where mobile devices are extensions of our personal and professional lives, securing Android applications is no longer optional but imperative.

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.

Built on Huawei's pioneering research, this book provides a comprehensive introduction to the architecture, techniques, and deployment of IPv6 on-path telemetry, highlighting the most recent developments in IP network technologies.

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.

This book facilitates a deeper understanding of the diverse applications of geographic information systems (GIS) and remote sensing (RS) in land and ocean mapping and surveying across different fields and regions, bringing forward the best practices and innovations happening worldwide.

In today's hyperconnected world, digital threats lurk in every corner of cyberspace.

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 addresses the need for users to understand the internal workings of GPenSIM's functions, including their design and how they can be extended to model and analyze scenarios that were previously not possible.

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.

Open for Business: Harnessing the Power of Open-Source in the Corporate World advocates for open source as a transformative force in corporate IT.

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.