Skip to main content
Elsevier
View Cart
openUserAccount

Books in Artificial intelligence

BooksJournals
81-90 of 523 results in All results

AI Computing Systems

  • 1st Edition
  • October 12, 2022
  • Yunji Chen + 5 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 3 9 9 - 3
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 3 9 8 - 6
AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time.

Digital Image Enhancement and Reconstruction

  • 1st Edition
  • October 6, 2022
  • Shyam Singh Rajput + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 8 3 7 0 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 8 5 7 8 - 9
Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.

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.

Deep Network Design for Medical Image Computing

  • 1st Edition
  • August 24, 2022
  • Haofu Liao + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 4 3 8 3 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 4 4 0 3 - 6
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems.

Adversarial Robustness for Machine Learning

  • 1st Edition
  • August 20, 2022
  • Pin-Yu Chen + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 4 0 2 0 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 4 2 5 7 - 5
Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and verification. Sections cover adversarial attack, verification and defense, mainly focusing on image classification applications which are the standard benchmark considered in the adversarial robustness community. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing time attack, and applications on adversarial robustness. For researchers, this book provides a thorough literature review that summarizes latest progress in the area, which can be a good reference for conducting future research. In addition, the book can also be used as a textbook for graduate courses on adversarial robustness or trustworthy machine learning. While machine learning (ML) algorithms have achieved remarkable performance in many applications, recent studies have demonstrated their lack of robustness against adversarial disturbance. The lack of robustness brings security concerns in ML models for real applications such as self-driving cars, robotics controls and healthcare systems.

Artificial Intelligence and Industry 4.0

  • 1st Edition
  • August 14, 2022
  • Aboul Ella Hassanien + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 8 8 4 6 8 - 6
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 0 6 3 9 - 5
Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT.

Artificial Intelligence Methods for Optimization of the Software Testing Process

  • 1st Edition
  • July 21, 2022
  • Sahar Tahvili + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 1 9 1 3 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 1 2 8 2 - 2
Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier’s Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https://www.elsevier.com/books-and-journals/book-series/uncertainty-computational-techniques-and-decision-intelligence 

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.

Edge-of-Things in Personalized Healthcare Support Systems

  • 1st Edition
  • June 19, 2022
  • Rajeswari Sridhar + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 0 5 8 5 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 0 7 0 8 - 8
Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics.

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

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Planning and scheduling

Reasoning

Robotics and autonomous systems