Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

Books Journals

A History of Angiogenesis

1st Edition
November 3, 2025
Gianfranco Natale + 2 more
English
Paperback
9 7 8 0 4 4 3 1 3 9 7 9 6
eBook
9 7 8 0 4 4 3 1 3 9 8 0 2

A History of Angiogenesis: Discoveries, Research and the Therapeutic Potential presents a recent history of discoveries in the angiogenic field that contribute to the development of the anatomical knowledge of the process, experimental models, and new pharmacological approaches in different angiogenesis-related diseases. This multifaceted book is enriched with deep scientific contents, and each chapter clearly defines historical steps, the emerging role during the years of new morphological findings, molecular pathways, and targets. Focus is also directed on key challenges associated and future directions.The history of angiogenesis research is an intriguing tool for discovering answers to a wide array of queries arising in the biological and medical world. This comprehensive resource skillfully integrates all the key aspects related to angiogenesis, and will be of immense help to students, researchers, and industry experts who want to explore the last two decades of angiogenesis discoveries and research.

Embedded Systems Architecture

3rd Edition
November 3, 2025
Tammy Noergaard
English

Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers, Third Edition is a practical and technical guide for understanding the components that make up an embedded system’s architecture. This book is perfect for those starting out as technical professionals such as engineers, programmers, and designers of embedded systems but is also great for students of computer science, computer engineering, and electrical engineering. Users will find a much-needed ‘big picture’ for recently graduated engineers grappling with understanding the design of real-world systems. In addition, the book provides professionals with a systems-level picture of the key elements that can go into embedded design.

Modeling, Dynamics and Control approaches for Modern Robotics

1st Edition
November 3, 2025
Ahmad Taher Azar + 1 more
English

The field of robotics has seen significant advances in recent years, spurred by breakthroughs in technology and computing power. Modern robotics encompasses a wide range of applications, from autonomous vehicles and industrial automation to humanoid robots and medical robotics. These advances have paved the way for more complex and sophisticated robotic systems capable of performing a variety of tasks with precision and efficiency. The purpose of Modeling, Dynamics and Control approaches for Modern Robotics is to explore and investigate various approaches related to modeling, dynamics and control in the context of modern robotics. The objective is to improve the understanding and development of robotic systems by applying the modern theoretical and practical principles of these fields. By studying modeling aspects, researchers aim to create accurate representations of robot kinematics and dynamics, allowing better analysis and prediction of robot behavior. Additionally, this title focuses on control approaches, aiming to design algorithms and strategies for precise and efficient control of robotic systems. This involves developing control schemes that optimize robot performance, provide stability, and allow adaptation to changing environments or tasks. The research also considers the integration of sensory feedback and perception systems, allowing robots to interact with their environment and make informed decisions.

Computational Tools for Energy Harvesting Applications

1st Edition
November 1, 2025
Abhishek Sharma + 3 more
English
Paperback
9 7 8 0 4 4 3 1 6 0 6 0 8
eBook
9 7 8 0 4 4 3 1 6 0 6 1 5

Computational Tools for Energy Harvesting Applications presents the latest applications of energy harvesting methods for renewable energy systems. The book provides readers with the computational tools and algorithms for energy harvesting, explaining the mathematical basis behind their development and application and analyzing the latest developments. Each chapter provides a review of the fundamentals and basic theory behind each energy harvester, the working principles, and the latest practical applications.The mathematical techniques and computational tools are provided for response analysis and optimization of diverse energy harvesters, including from fixed renewable energy systems – wind, solar, etc. – and portable devices such as PEM fuel cells. This is a valuable reference for students and researchers working in the field of renewable energy harvesting and its application, as well as electrical and mechanical engineers.

Video Health Monitoring in Hospitals

1st Edition
November 1, 2025
Wenjin Wang + 3 more
English
Paperback
9 7 8 0 4 4 3 2 6 5 8 6 0
eBook
9 7 8 0 4 4 3 2 6 5 8 7 7

Video Health Monitoring in Hospitals discusses the emergence of camera-based, contactless physiological measurement as a groundbreaking solution in healthcare monitoring. The book highlights the technology's non-invasiveness, capacity for continuous and long-term monitoring, and its ability to capture not only vital signs but also contextual information and behaviors. A unique aspect of this book is its rich set of compelling healthcare applications that will attract broader audiences (including researchers, engineers, clinicians, and students) from multidisciplinary fields.Finally, the book discusses the role of artificial intelligence in enhancing healthcare applications and aims to engage the healthcare industry in adopting this innovative approach to improve patient care and outcomes.

Mathematical Modeling for Big Data Analytics

1st Edition
November 1, 2025
Passent El-Kafrawy + 1 more
English
Paperback
9 7 8 0 4 4 3 2 6 7 3 5 2
eBook
9 7 8 0 4 4 3 2 6 7 3 6 9

Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques.This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

Theoretical Foundations of Quantum Computing

1st Edition
November 1, 2025
Daowen Qiu
English

Theoretical Foundations of Quantum Computing is the essential textbook designed specifically for introductory courses in this groundbreaking discipline. Quantum computing represents a paradigm shift in how we understand computation itself. This textbook delves deep into the fundamental principles of quantum mechanics that underpin this revolutionary technology, making it an invaluable resource for both undergraduate and graduate students in computer science and related fields. Structured into eight meticulously crafted chapters, this textbook covers everything from the historical context of quantum computing to advanced theories and applications. Each chapter is designed to build upon the last, ensuring that students develop a robust understanding of both foundational concepts and cutting-edge research. Chapter 1 briefly introduces the development history, background, and current status of quantum computing, and points out its advantages and potential applications; Chapter 2 describes the basic concepts related to quantum computing and points out that classical computing is a special case of quantum computing; Chapter 3 provides an overview of linear algebra, systematically summarizing the relevant theorems on operator (matrix) decomposition and hyperoperators; Chapter 4 states the basic quantum cryptography and communication protocols; Chapter 5 elaborates on basic quantum computing models, including quantum finite automata, quantum Turing machines, and quantum circuits; Chapter 6 introduces the core content of quantum computing, including important quantum algorithms It also introduces hidden subgroup algorithms and summarizes the basic tools for designing quantum algorithms, namely quantum phase estimation method and quantum amplitude amplification method; Chapter 7 introduces the basic knowledge and methods of quantum computing complexity; Chapter 8 introduces the basic concepts and methods of quantum error correction codes, as well as their error correction principles. This textbook not only serves as a foundational resource for students but also acts as a comprehensive guide for researchers interested in quantum computing. Its clarity and thoroughness make it an excellent reference for those looking to deepen their understanding or engage in cutting-edge research.

Digital Transformation in Artificial Systems

1st Edition
November 1, 2025
Mirko Farina + 3 more
English

The last decade has seen exponential growth in the development of digital technologies. These have led to significant shifts in the political arena as well as in the economy, precipitating a series of revolutionary changes in the fabric of our societies, which have had far reaching consequences and effects on the way we relate and connect to each other. Digital Transformation in Artificial Systems: Engineering Requirements and Political, Economic, and Philosophical Challenges focuses on analyzing the engineering requirements as well as the political consequences and the overarching philosophical and ethical implications of this transformation, especially in relation to its application in Artificial Systems. In this context, the concept of digital transformation (understood as the practice of redefining models, functions, operations, processes, and activities by leveraging technological advancements to build efficient digital environments) has become increasingly important. While many researchers have studied and analyzed this concept from the perspective of their own disciplinary norms or boundaries, this book brings together key concepts, ideas, and frameworks related to this idea and previously developed in isolation (in disciplines such as computer science, engineering, philosophy, economy, and sociology).Digital Transformation in Artificial Systems: Engineering Requirements and Political, Economic, and Philosophical Challenges focuses on analyzing the engineering requirements as well as the political consequences and the overarching philosophical and ethical implications of this notion, especially in relation to its application in Artificial Systems. The authors encourage and promote an inclusive and responsible digital transformation (development) capable of addressing constraints on global digital divide; deepening cooperation in digitization, industrialization, and innovation, while furthering our understanding of the ethical and moral challenges associated with such a development. The distinctive and most original element of the book is its interdisciplinarity. The development of a collaborative, highly interdisciplinary, and synthetic framework for describing digital transformation in artificial systems as discussed by the authors will allow readers to gather crucial insights that will be instrumental to better understand the reach of the forthcoming AI revolution, its multidimensionality, as well as its potential impact on people and society. Such an original and multidisciplinary understanding is of paramount importance for the realization of practical objectives (such as the development of fairer policies) that will ultimately be directed at promoting human flourishing, social harmony, and moral good.

Artificial Intelligence for the Water-Energy-Food Nexus

1st Edition
November 1, 2025
Shahryar Jafarinejad + 1 more
English

Artificial Intelligence for the Water-Energy-Food Nexus considers the interrelationships between water, energy, and food, which are key to sustainable development, and the potential of artificial intelligence (AI) as a tool to facilitate research and development within and between these areas. The first chapter introduces the water-energy-food nexus, including the three dimensions of the nexus (water-energy nexus, water-food nexus, and energy-food nexus), assessment and analysis methods, challenges and opportunities, trends, and future perspectives. The second chapter discusses artificial intelligence techniques, such as machine learning, natural language processing, machine or computer vision, and automation and robotics. This is followed by in-depth chapters that study the application of AI techniques to the three different sectors that form the nexus, covering water treatment processes, wastewater management, water quality and pollution, water resource management, renewable energy systems, load monitoring, grid management and smart grid, optimization and process control, energy consumption, energy storage, smart energy forecasting, and sorting and classification, detection, safety, prediction, control, quality analysis, production process optimization, and packaging in the context of the food industry. The final chapter brings everything together by presenting the applications of AI to the water-energy nexus, water-food nexus, energy-food nexus, and water-energy-food nexus. This book is of interest to all those who are looking to understand and utilize AI techniques in the context of energy, water, food, sustainable development, or other interdisciplinary areas, including researchers, advanced students, faculty, engineers, R&D, industry professionals, and policy makers.

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

1st Edition
November 1, 2025
Olfa Boubaker
English

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. It covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing. Furthermore, it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health