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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.

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41-50 of 2559 results in All results

A Practical Introduction to Virtual Reality

  • 1st Edition
  • October 11, 2024
  • Lori Rebenitsch + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 6 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 7 - 2
A Practical Introduction to Virtual Reality: From Concepts to Executables is written for the undergraduate computer science student taking a course in virtual reality. This tutorial-based text is organized so that by the end of the semester students will have created their first VR game, including sound and various interactions. The materials are written from the position of the student and the student’s professor as opposed to the professional with prior graphics experience.Beginning with an introductory chapter covering the ten universal basics necessary for VR coding, the book moves on to such topics as putting together a VR set-up, creating Heads Up displays, building scene trees, learning how to import 3D models and animations, lighting and audio, and more, until by the end of the book, students will have a final project game ready for beta testing and publishing!

Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants

  • 1st Edition
  • October 10, 2024
  • Marvellous Moyo + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 8 3 0 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 8 3 1 - 3
Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent (AI) charging systems for battery-powered implants that can last for a lifetime after implantation. This book introduces new strategies to address the limitations of technologies that have been employed to improve the lifespan of medical implants. This book also provides guidelines that medical implant manufacturers can adopt during their product development stages—this adds a new dimension of research on medical device implants that can be a game changer for the AI medical implants industry. Researchers, engineers, and graduate students in the elds of biomedical engineering, electrical engineering, and computer science will find this text helpful as they seek to understand the potential of AI systems to help achieve sustainability in healthcare and make current medical implants relevant in the future.

Handbook of Robotic Surgery

  • 1st Edition
  • October 7, 2024
  • Stênio de Cássio Zequi + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 2 7 1 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 2 7 2 - 8
Handbook of Robotic Surgery serves as a primer covering the main areas of knowledge in robotic surgery. This comprehensive book provides essential information on all aspects related to robotic surgery, from the present up to the future. The discussion presented in sections ranges from the historical background of robotic surgery up to more recent and future technological innovations such as remote controls, surgically distant collaboration, simulators, modern surgical robotics, fluorescence-guided surgery, and virtual reality. The book also contains sections dedicated to the safety conditions in surgery and patient protection, which will be suitable for surgeons, health professionals, biomedical engineering professionals, healthcare administrators, and students. There are specific chapters for all areas in which robotic surgery has been used in daily clinical practice or is under development.

Computational Modeling Applications for Climate Crisis

  • 1st Edition
  • October 7, 2024
  • Utku Kose + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 9 0 5 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 9 0 6 - 1
Computational Modeling Applications for Climate Crisis provides readers with innovative research on the applications of computational modeling to moderate climate change. The book begins with an overview and history of climate change, followed by several chapters covering the concepts of computational modeling and simulation, including parameters of climate change, modeling the effects of human activities, visualization tools, and data fusion for advanced modeling applications. It then proceeds to cover decision support systems, modeling of technological solutions for climate change, modeling of greenhouse gas emissions, tracking of climate factors, and modeling of earth resources. In the final chapters of the book, the authors cover nation-based outcomes, big data, and optimization solutions with real-world data and case studies. Climate change is one of the most pressing existential issues for humans and the planet, and this book covers leading-edge applications of computational modeling to the vast array of interdisciplinary factors and challenges posed by climate change. As life itself is a mixture of occurrences that can be mathematically modelled, it is important to work with specific parameters, which are critical for monitoring and controlling the dynamics of the earth, natural resources, technological factors, and human activities.

Computational Intelligence in Sustainable Computing and Optimization

  • 1st Edition
  • October 1, 2024
  • Balamurugan Balusamy + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 5 - 6
Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable.

Fuzzy Methods for Assessment and Decision Making

  • 1st Edition
  • October 1, 2024
  • Michael Gr. Voskoglou
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 2 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 3 - 1
Fuzzy Methods for Assessment and Decision Making presents the assessment of learning and problem-solving skills with qualitative grades. These methods are outcomes of the author’s research work on the subject for more than 20 years. In particular, a hybrid assessment model uses the Center of Gravity (COG) defuzzification technique, closed real intervals (grey numbers), neutrosophic sets, and soft sets as tools. The book starts with the basic mathematical background that is needed for an understanding of its contents. The Rectangular Fuzzy Assessment Model (RFAM) of Subbotin and Voskoglou is presented next, the outcomes of which are compared to those of the GPA index.The book presents innovative fuzzy assessment methods, enabling readers to assess the mean and quality performance of learning or problem-solving skills of a group of students when qualitative (linguistic) grades are used for this purpose. In the case of using linguistic grades for the assessment of a group’s skills, the classical method of calculating the mean value of the (numerical) grades cannot be applied. Also, no safe conclusions can be obtained on comparing the quality performance of two groups when the values of their GPA index are equal.

Uncertainty in Computational Intelligence-Based Decision Making

  • 1st Edition
  • September 27, 2024
  • Ali Ahmadian + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 4 7 5 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 4 7 6 - 9
Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others.The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.

Data Science in the Medical Field

  • 1st Edition
  • September 27, 2024
  • Seifedine Kadry + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 0 2 8 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 0 2 9 - 4
Data Science in the Medical Field focuses on the potential tools that can be used in data science to identify signs of illness at extremely early stages. Today's rapid advancements in data science provide the potential to influence and improve fundamental services in the healthcare sector, including many important applications across the healthcare spectrum. As every human body produces two terabytes of data each day, including brain activity, stress level, heart rate, blood sugar level, and many other data points, this book discusses how data science can help clinicians and researchers handle the massive volume of data to better track patient health.

Artificial Intelligence of Things (AIoT)

  • 1st Edition
  • September 27, 2024
  • Fadi Al-Turjman + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 4 8 2 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 4 8 3 - 2
Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings.The book also covers new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency.

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

  • 1st Edition
  • September 4, 2024
  • Xiao-Lei Zhang
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 8 5 6 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 8 5 7 - 3
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by looking at the basics of deep learning and common deep network models, followed by front-end algorithms for deep learning-based speech denoising, speech detection, single-channel speech enhancement multi-channel speech enhancement, multi-speaker speech separation, and the applications of deep learning-based speech denoising in speaker verification and speech recognition.

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