Skip to main content
Elsevier
View Cart
Your Account

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.

BooksJournals

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

  • 1st Edition
  • July 1, 2025
  • Manuel González Canché
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 9 6 1 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 9 6 0 - 3
Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools—just as people do not need to know C++ or TypeScript to benefit from Microsoft Word.The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Tactile Internet for a Human-Centred Metaverse

  • 1st Edition
  • July 1, 2025
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 0 0 4 4 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 0 0 4 5 - 5
Tactile Internet for a Human-Centred Metaverse is a ground-breaking, comprehensive guide to the Tactile Internet, an innovative communication platform that merges the physical and digital worlds, transforming how we experience the Metaverse and interact with robots and other cyber-physical systems. From exploring real-world applications in healthcare, industry, education, and beyond, to delving into the cutting-edge components, sensors, and communication systems that underpin this transformation, this book offers a multidisciplinary view of the Tactile Internet revolution. Tactile Internet for a Human-centred Metaverse is an essential read for academic researchers, students, industry professionals and R&D engineers engineers seeking a comprehensive, up-to-date and forward looking approach to understanding the Tactile Internet’s intersection with the Metaverse, together with its far reaching implications.

Python Fast Track

  • 1st Edition
  • June 2, 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.

A History of Angiogenesis

  • 1st Edition
  • June 1, 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.

Urban Computing and Artificial Intelligence

  • 1st Edition
  • June 1, 2025
  • Ansar Khan + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 1 6 8 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 1 6 9 - 0
Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation is the first full synthesis of modern scientific and applied research on climate change, urban warming, and the future of resilient cities. The book helps city governments better understand how to plan for the effects of climate change and impending natural disasters. It compiles the concepts, strategies, and technologies associated with resilient cities, and provides an outline of what constitutes climate change and its behavior relating to urban systems. Finally, the book develops a comprehensive concept for the future resiliency of cities related to hydro-climatology and extreme events.Next, it explains the physical principles governing the formation of distinct hydro-climatology and resilient cities, and then illustrates how this knowledge can be applied to moderate the undesirable consequences of swift and haphazard urban development (energy, peak electricity demand, health, comfort, economy, and environment) and help to create more sustainable and resilient cities for the future. With urban climate science now a fully-fledged growing field, this timely book fulfils the need to bring together the disparate parts of urban climate research in global cities into a coherent framework. It is an ideal resource for students, researchers, and policymakers in the fields of urban climate, urban architecture and planning, environmental engineering, urban design, and redevelopment.

Quantified Automated Optical Inspection

  • 1st Edition
  • June 1, 2025
  • Nathan Jessurun
  • English
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 7 1 1 - 8
Quantified Automated Optical Inspection: Fully enabling machine learning for enhanced hardware assurance outlines various inspection modalities, the growing popularity of machine learning (ML) techniques for enhanced AOI, critical bottlenecks in these approaches, and solutions that increase scalability, reliability, and accuracy of ML-based AOI techniques. As a result, readers will clearly see which trends must be updated to properly incorporate deep learning strategies given the constraints present in PCB analysis. These constraints include limited publicly available data, lack of rigor/consistency in ground truth collection, lack of result quantifiability, and limited diversity in fundamental ML approaches. Solution spaces will be explored such as enhanced generative models to quantify PCB component properties, verification against component datasheets, and codified recommendations for rigorous data aggregation and dissemination.

ChatGPT

  • 1st Edition
  • June 1, 2025
  • Ge Cheng
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 7 4 3 6 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 7 4 3 7 - 4
ChatGPT: Principles and Architecture is an important comprehensive book, bringing readers up to date with the latest developments in large language models such as ChatGPT, and fulfilling the need for a resource that not only explains the theory but also provides insights into the implementation of AI technologies. The book bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to leverage these technologies effectively in their respective fields. This book tackles the complexity of understanding large language models and their practical applications. It demystifies the underlying technologies and strategies used in developing ChatGPT and similar models, offering readers a clear roadmap from conceptual understanding to practical implementation. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, paving the way for innovative applications and solutions in their professional domains. In exploring the intricacies of large language models, the book focuses on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. The book addresses the needs of industry professionals, researchers and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies. It provides them with the necessary theoretical knowledge and practical insights to effectively apply these technologies in their work. Furthermore, it helps in overcoming the gap between theoretical concepts of large language models and their practical applications, offering guidance on how to navigate through the rapidly evolving landscape of AI.

Quantum Computing

  • 1st Edition
  • June 1, 2025
  • Sukhpal Singh Gill + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 9 0 9 6 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 0 9 7 - 8
Quantum Computing: Principles and Paradigms covers a broad range of topics, providing a state-of-the-art and comprehensive reference for the rapid progress in the field of quantum computing and related technologies from major international companies (such as IBM, Google, Intel, Rigetti, Q-Control) and academic researchers. This book appeals to a broad readership, as it covers comprehensive topics in the field of quantum computing, including hardware, software, algorithms, and applications, with chapters written by both academic researchers and industry developers.This book presents readers with the fundamental concepts of quantum computing research, along with the challenges involved in developing practical devices and applications.

Intelligent Data Analytics for Solar Energy Prediction and Forecasting

  • 1st Edition
  • May 1, 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.

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

  • 1st Edition
  • Volume 139
  • May 1, 2025
  • Muthu Ramachandran + 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.

Related subjects

Applications

Artificial 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