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

The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain

1st Edition
July 1, 2025
Hossein Pourrahmani + 2 more
English
Paperback
9 7 8 0 4 4 3 4 1 4 6 7 1
eBook
9 7 8 0 4 4 3 4 1 4 6 8 8

The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain provides an essential guide to understanding the transformative potential of advanced technologies in decentralized hydrogen communities. This comprehensive resource covers the intersection of AI, IoT, and blockchain with sustainable energy, offering insights from foundational principles to advanced applications. Readers will learn about the environmental benefits of hydrogen over fossil fuels, electrolysis, and the integration of innovative technologies to enhance hydrogen production and distribution. The book delves into the role of fuel cells in clean energy, advanced AI algorithms in hydrogen production, blockchain trust in hydrogen networks, and IoT connectivity.Economi... considerations, policy frameworks, and the future of decentralized hydrogen communities are also explored, making this an invaluable reference for researchers, industry professionals, policymakers, and students interested in the hydrogen economy.

Python Fast Track

1st Edition
June 27, 2025
Sanjiban Sekhar Roy + 2 more
English
Paperback
9 7 8 0 4 4 3 3 3 8 2 3 6
eBook
9 7 8 0 4 4 3 3 3 8 2 4 3

Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

Intelligent Data Analytics for Solar Energy Prediction and Forecasting

1st Edition
June 20, 2025
Amit Kumar Yadav + 2 more
English
Paperback
9 7 8 0 4 4 3 1 3 4 8 2 1
eBook
9 7 8 0 4 4 3 1 3 4 8 3 8

Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks

1st Edition
June 2, 2025
Dinh Thai Hoang + 3 more
English
Paperback
9 7 8 0 4 4 3 2 9 0 3 2 9
eBook
9 7 8 0 4 4 3 2 9 0 3 3 6

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their applications in detecting and preventing cyberattacks in future IoT systems. Chapters investigate the key challenges and vulnerabilities found in IoT security, how to handle challenges in data collection and pre-processing specific to IoT environments, as well as what metrics to consider for evaluating the performance of machine learning models. Other sections look at the training, validation, and evaluation of supervised learning models and present case studies and examples that demonstrate the application of supervised learning in IoT security.

Data-Driven Insights and Analytics for Measurable Sustainable Development Goals

1st Edition
June 2, 2025
Tilottama Goswami + 2 more
English
Paperback
9 7 8 0 4 4 3 3 3 0 4 4 5
eBook
9 7 8 0 4 4 3 3 3 0 4 5 2

Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues, one should be able to measure and analyze progress. This book bridges the gap between qualitative and quantitative assessments, recognizing that goals are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how SDGs intersect and influence each other.The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.

Edge Intelligence in Cyber-Physical Systems

1st Edition
June 1, 2025
Wei Yu
English
Paperback
9 7 8 0 4 4 3 2 6 5 7 2 3
eBook
9 7 8 0 4 4 3 2 6 5 7 3 0

Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers machine learning, edge computing, and their needs in CPS, defining edge intelligence and its principles, challenges, and research directions. The third part presents tutorials and foundational research works on realizing edge intelligence in representative CPS. The fourth part explores the problem space of threats and countermeasures in building edge intelligence into CPS. Researchers, graduate students and professionals in computer science, data science, and electrical engineering will find this to be a valuable resource on the principles and applications of edge intelligence in cyber-physical systems as well as the development of interdisciplinary techniques to advance the field.

Artificial Intelligence Innovations for Biomedical Engineering and Healthcare

1st Edition
June 1, 2025
Alma Y Alanis + 3 more
English
Paperback
9 7 8 0 4 4 3 3 2 8 5 6 5
eBook
9 7 8 0 4 4 3 3 2 8 5 7 2

Artificial Intelligence Innovations for Biomedical Engineering and Healthcare bridges the evolving domains of artificial intelligence and biomedical engineering and healthcare. In an era where data-driven insights and precision medicine are essential in healthcare, this book explores emerging trends and showcases AI's potential in transforming patient care, diagnosis, and the treatment of chronic diseases. It simplifies the relationship between artificial intelligence and biomedical engineering, elucidating how these technologies are revolutionizing self-care. The book goes on to examine how advanced technologies, including complex networks and AI-driven diagnostics are reshaping the healthcare landscape.From decoding complex networks to revealing AI's role in treating chronic diseases, this book serves as a guide to understanding how innovation is reshaping the healthcare landscape.

Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices

1st Edition
June 1, 2025
Aditya Khamparia + 1 more
English
Paperback
9 7 8 0 4 4 3 3 3 0 1 2 4
eBook
9 7 8 0 4 4 3 3 3 0 1 3 1

Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices focuses on the intersection of biometric-driven computational approaches and techniques within a connected multi-modal environment, particularly emphasizing their applications in healthcare. The book explores cutting-edge methodological approaches that leverage technologies like blockchain and integrate them with information fusion, data security for medical devices, and trust management. Readers with find this to be a comprehensive overview of the topics covered, including machine learning and deep learning for biomedical-based biometrics, computational medical imaging techniques, security strategies for healthcare systems, AI technology for multimodal biometrics, and feature reduction techniques.Other sections cover blockchain and fog computing models for medical sensor data storage and evolutionary optimization for biometric feature identification and recognition, amongst others.

Massive MIMO in Practice

2nd Edition
May 30, 2025
Henrik Asplund + 12 more
English
Paperback
9 7 8 0 4 4 3 2 9 2 0 4 0
eBook
9 7 8 0 4 4 3 2 9 2 0 5 7

Massive MIMO in Practice: From 5G/5G-Advanced to 6G (2nd edition of the previously titled Advanced Antenna Systems for 5G Network Deployments: Bridging the Gap between Theory and Practice) provides a theoretical introduction to Massive MIMO as well as presenting how it can meet network performance requirements for commercial deployment.Features include:A thorough understanding of:Array antennas and how they can be used for beamforming, null-forming and support for MIMO featuresMassive MIMO features and how they work, with a particular focus on mobile networks and the specifics relevant for mobile network operation, e.g. characteristics of the radio channel in different environment and how Massive MIMO solutions adapt to theseA detailed walk-through of the 3GPP physical layer support for Massive MIMO solutions, the background for this support and how it can be used in mobile networksExplanations of what performance can be achieved in commercially deployed mobile networks for: different antenna configurations; different Massive MIMO features; different network deployment environmentsAn introduction to millimeter Wave solutions with a focus on the specifics of wave propagation and the corresponding technology solutionsRegulatory aspects which are new and specific to Massive MIMO operationProduct architecture and implementation aspects that provide cost efficient and flexible operationNew to this edition:More detail on the practical use of Massive MIMO in commercial mobile networks, specifically how to choose solutions, including antenna configuration and suitable Massive MIMO features, for cost efficient operation depending on traffic and environmental conditionsA new chapter on how to put the complete Massive MIMO solution together: hardware solutions, features and use of spectrumOutlines promising Massive MIMO solutions to be deployed in the futureInclusion of 3GPP’s Rel. 17 and Rel. 18 updatesRecent regulatory issues of high general interestPractical aspects of network planning, deployment and operationExamples of other applications of Massive MIMO: satellites, drones and WiFiOutlines the path Massive MIMO can play to achieving 6G

The Convergence of Artificial Intelligence (AI) and 6G Communication Networks: The Needs and Implications

1st Edition
Volume 139
May 1, 2025
Pethuru Raj + 4 more
English
Hardback
9 7 8 0 4 4 3 1 8 9 2 3 4
eBook
9 7 8 0 4 4 3 1 8 9 2 4 1

Advances in Computers, Volume 139 focuses on the convergence of Artificial Intelligence (AI) and 6G communication networks, addressing key advancements and implications across various fields. It explores cybersecurity challenges in 5G networks, solutions for 5G performance evaluation, and the transition to 5G-Advanced. The role of AI in enhancing 6G network performance, resource allocation, and management is discussed alongside the technical foundations of 6G and its ability to power edge AI applications. The volume highlights how 6G will transform industries like logistics through automation and AI-driven decision-making, while also covering strategic management perspectives on AI-driven innovations. Sustainability is a key theme, with discussions on energy-efficient cloud and quantum data centers, as well as the integration of green innovations into AI-6G synergy. The metaverse and its reliance on 5G and 6G for immersive experiences are reviewed, alongside the revolutionary potential of quantum computing in 6G networks. The practical applications of AI, such as a CNN-based model for brain tumor detection using 5G edge cloud, and federated learning for 6G, demonstrate the technology's impact on healthcare and data privacy. Additionally, the volume delves into 6G’s role in enabling next-generation metaverse systems and AI-powered telemedicine, while providing insights into the architecture, communication systems, and industrial use cases of 6G. It concludes by summarizing the advancements, advantages, and challenges of 6G, offering a comprehensive view of its future impact on global connectivity.

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