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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

    • Up and Running with AutoCAD® 2024

      • 1st Edition
      • April 1, 2023
      • Elliot J. Gindis + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 9 6 8 0
      • eBook
        9 7 8 0 4 4 3 1 3 9 6 7 3
      Up and Running with AutoCAD® 2024: 2D and 3D Drawing, Design and Modeling presents a combination of step-by-step instructions, examples and insightful explanations. The book emphasizes core concepts and practical application of AutoCAD in engineering, architecture and design. Equally useful in instructor-led classroom training, self-study or as a professional reference, the book is written by a long-time AutoCAD professor and instructor with the user in mind.

    • Mathematical Methods in Data Science

      • 1st Edition
      • January 6, 2023
      • Jingli Ren + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 6 7 9 0
      • eBook
        9 7 8 0 4 4 3 1 8 6 8 0 6
      Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors’ recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations for dataanalysis and prediction. With data science being used in virtually every aspect of our society, the book includes examples and problems arising in data science and the clear explanation of advanced mathematical concepts, especially data-driven differential equations, making it accessible to researchers and graduate students in mathematics and data science.

    • Engineering a Compiler

      • 3rd Edition
      • August 20, 2022
      • Keith D. Cooper + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 4 1 2 0
      • eBook
        9 7 8 0 1 2 8 1 8 9 2 6 9
      *Textbook and Academic Authors Association (TAA) Textbook Excellence Award Winner, 2024*Engineering a Compiler, Third Edition covers the latest developments in compiler technology, with new chapters focusing on semantic elaboration (the problems that arise in generating code from the ad-hoc syntax-directed translation schemes in a generated parser), on runtime support for naming and addressability, and on code shape for expressions, assignments and control-structures. Leading educators and researchers, Keith Cooper and Linda Torczon, have revised this popular text with a fresh approach to learning important techniques for constructing a modern compiler, combining basic principles with pragmatic insights from their own experience building state-of-the-art compilers.

    • Understanding Personalisation

      • 1st Edition
      • August 21, 2022
      • Iryna Kuksa + 2 more
      • English
      • Paperback
        9 7 8 0 0 8 1 0 1 9 8 7 0
      • eBook
        9 7 8 0 0 8 1 0 1 9 8 8 7
      Understanding Personalization: New Aspects of Design and Consumption addresses the global phenomenon of personalization that affects many aspects of everyday life. The book identifies the dimensions of personalization and its typologies. Issues of privacy, the ethics of design, and the designer/maker’s control versus the consumer’s freedom are covered, along with sections on digital personalization, advances in new media technologies and software development, the way we communicate, our personal devices, and the way personal data is stored and used. Other sections cover the principles of personalization and changing patterns of consumption and development in marketing that facilitate individualized products and services. The book also assesses the convergence of both producers and consumers towards the co-creation of goods and services and the challenges surrounding personalization, customization, and bespoke marketing in the context of ownership and consumption.

    • Semantic Models in IoT and eHealth Applications

      • 1st Edition
      • September 17, 2022
      • Sanju Tiwari + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 7 7 3 5
      • eBook
        9 7 8 0 3 2 3 9 7 2 2 6 0
      Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction.

    • Meta-Learning

      • 1st Edition
      • November 5, 2022
      • Lan Zou
      • English
      • Paperback
        9 7 8 0 3 2 3 8 9 9 3 1 4
      • eBook
        9 7 8 0 3 2 3 9 0 3 7 0 7
      Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources. Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.

    • Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation

      • 1st Edition
      • April 2, 2022
      • Qiang Li + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 4 4 5 2
      • eBook
        9 7 8 0 3 2 3 9 0 4 1 7 9
      Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human dexterous skill representation and learning, along with discussions of tactile sensing and its applications on unknown objects’ property recognition and reconstruction. Sections also introduce the adaptive control schema and its learning by imitation and exploration. Other chapters describe the fundamental part of relevant research, paying attention to the connection among different fields and showing the state-of-the-art in related branches. The book summarizes the different approaches and discusses the pros and cons of each. Chapters not only describe the research but also include basic knowledge that can help readers understand the proposed work, making it an excellent resource for researchers and professionals who work in the robotics industry, haptics and in machine learning.

    • Contemporary Management of Metastatic Colorectal Cancer

      • 1st Edition
      • June 23, 2022
      • Aslam Ejaz + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 7 0 6 3
      • eBook
        9 7 8 0 4 4 3 1 5 8 5 9 9
      • eBook
        9 7 8 0 3 2 3 9 8 5 6 8 0
      Contemporary Management of Metastatic Colorectal Cancer: A Precision Medicine Approach summarizes current knowledge and provides evidenced-based practice recommendations on how to treat patients with metastatic colorectal cancer. The book presents topics such as pre-operating imaging, the use of molecular markers in treatment decisions, neoadjuvant therapy, synchronous colorectal liver metastasis, and minimally invasive approaches. In addition, it discusses immunotherapy, targeted therapies and survivorship. This is a valuable resource for practitioners, cancer researchers, oncologists, graduate students and members of biomedical research who need to understand more about novel treatments for colorectal cancer metastasis.

    • Data Mining

      • 4th Edition
      • July 2, 2022
      • Jiawei Han + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 1 7 6 0 6
      • eBook
        9 7 8 0 1 2 8 1 1 7 6 1 3
      Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.

    • Blockchain Technology for Emerging Applications

      • 1st Edition
      • May 21, 2022
      • SK Hafizul Islam + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 1 9 3 2
      • eBook
        9 7 8 0 3 2 3 9 0 1 9 4 9
      Blockchain Technology for Emerging Applications: A Comprehensive Approach explores recent theories and applications of the execution of blockchain technology. Chapters look at a wide range of application areas, including healthcare, digital physical frameworks, web of-things, smart transportation frameworks, interruption identification frameworks, ballot-casting, architecture, smart urban communities, and digital rights administration. The book addresses the engineering, plan objectives, difficulties, constraints, and potential answers for blockchain-based frameworks. It also looks at blockchain-based design perspectives of these intelligent architectures for evaluating and interpreting real-world trends. Chapters expand on different models which have shown considerable success in dealing with an extensive range of applications, including their ability to extract complex hidden features and learn efficient representation in unsupervised environments for blockchain security pattern analysis.

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