Algorithms and data structures Books

The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the...

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven...

This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further...

This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the...

Blockchain is emerging as a powerful technology, which has attracted the wider attention of all businesses across the globe. In addition to financial businesses, IT companies and business...

Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of...

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data...

This book presents key computational intelligence approaches applied across diverse areas of computer science, demonstrating their effectiveness in solving real-world problems. It highlights how...

This seminal volume delivers a comprehensive introduction to the emerging field of digital minds, exploring the moral implications of AI systems that can potentially think, feel and experience the...

This seminal volume delivers a comprehensive introduction to the emerging field of digital minds, exploring the moral implications of AI systems that can potentially think, feel and experience the...

Computational Modelling with Single Prompts provides an overview of computer models of physical phenomena and more. Each chapter is about a different model and contains a complete description,...

This book examines how to design intelligent systems that are not only adaptive but also safe and reliable. This book bridges the gap between traditional control theory and modern data-driven...

The main objective of this conference is to encourage the integration of Mathematics, Automation and Computing, fostering interdisciplinary research that can address complex problems in Science,...

This book concentrates on mining networks, a subfield within data science. Many data science problems can be viewed as a study of some properties of complex networks in which nodes represent the...

This book concentrates on mining networks, a subfield within data science. Many data science problems can be viewed as a study of some properties of complex networks in which nodes represent the...

Diversity-Driven Evolutionary Algorithms For Solving Engineering Problems explores optimization algorithms and their applications across diverse engineering domains. It presents a comprehensive...

This book explores how data science, which involves preparing, analyzing, visualizing, and interpreting data, can revolutionize the field of education. The authors delve into how schools and...

At the intersection of humanities and science, this book re-examines noise as a fundamental force in shaping contemporary thought and digital culture. Anchored by the republication of Steven Sands...

The convergence of AI and the metaverse is poised to revolutionize healthcare and other industries. Healthcare has undergone rapid transformation through the adoption of AI technologies, ranging from...

In a rapidly evolving landscape of educational research, explainable artificial intelligence (XAI) and interpretable machine learning (IML) are emerging as pivotal tools that enhance transparency,...

This book provides a structured introduction to automata theory, bridging theoretical foundations with practical applications. Designed for students, researchers, and professionals, this book...

The rapid development in AI and quantum computing has resulted in a new domain termed Quantum-Inspired Neural Networks (QINNs). These models utilize ideas from quantum mechanics, including...

Coding Theory, Cryptography, and Finite Fields explores the theory and applications of finite fields, from basic concepts such as the modular arithmetic and polynomial interpolation to advanced...

The book presents advanced techniques for enhancing mobility management across evolving wireless systems, including 5G and beyond. It introduces innovative handover decision algorithms that leverage...

A comprehensive compilation that explores a wide range of applications where deep learning techniques have had impact and its practical uses. The book covers fields like healthcare, finance,...

This book provides a structured introduction to automata theory, bridging theoretical foundations with practical applications. Designed for students, researchers, and professionals, this book...

What if everything we assume about artificial intelligence rests on a misconception of human intelligence? This book challenges those assumptions, arguing that human cognition cannot be replicated...

This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks,...

This book provides an overview of AI’s historical development while understanding the cultural and scientific foundations that make today’s AI possible. Through easy-to-understand explanations of...

This book presents some exceptional developments in chaotic attractor theory encompassing several new directions of research such as three-dimensional axiom A-diffeomorphisms, Shilnikov attractors,...

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few...

This book provides a unique blend of interdisciplinary information to help readers grasp how bioengineering and Internet of Things (IoT) technologies are transforming healthcare.Bioengineering and...

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from...

This book discusses the concepts and processes of different livestock systems with the integration of smart technologies. The application of these technologies embedded in livestock systems will...

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...

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges. It covers fundamental theories as well as advanced...

In the rapidly evolving landscape of finance and governance, the integration of blockchain technology and artificial intelligence is reshaping the way we perceive and interact with traditional...

This book is a comprehensive exploration into the realm of sentiment analysis. From deciphering customer sentiments for businesses to understanding public opinions on social media or predicting...

This book presents a comprehensive exploration of structural pattern recognition with a clear understanding of graph representation and manipulation. It explains graph matching techniques, unearthing...

Business analytics are widely used in healthcare, manufacturing, and other industries that need to monitor or carefully analyze its users. Every day, over 2.5 quintillion data bytes are collected,...

What are the means to create a paradigm shift from conventional to intelligent companies? Industry 6.0: Technology, Practices, Challenges and Applications shows how integrating Industry 6.0...

This book takes readers on a captivating journey through the history of social engineering, tracing its evolution from the mechanical marvels of the clockwork era and the rise of automata to the...

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important...

The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent...

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization...

Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of...

The book provides a fundamental exploration of cloud security, addressing the growing risks associated with modern cloud environments. It combines foundational theory with hands-on applications,...

Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts...