Skip to main content
Elsevier
View Cart

Books in Artificial intelligence

BooksJournals

    • Emerging Practices in Telehealth

      • 1st Edition
      • February 15, 2023
      • Andrew M. Freeman + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 9 8 0 0
      • eBook
        9 7 8 0 4 4 3 1 5 9 8 1 7
      **Selected for 2025 Doody’s Core Titles® in Ambulatory**Emerging Practices in Telehealth: Best Practices in a Rapidly Changing Field is an introduction to telehealth basics, best practices and implementation methods. The book guides the reader from start to finish through the workflow implementation of telehealth technology, including EMRs, clinical workflows, RPM, billing systems, and patient experience. It also explores how telehealth can increase healthcare access and decrease disparities across the globe. Practicing clinicians, medical fellows, allied healthcare professionals, hospital administrators, and hospital IT professionals will all benefit from this practical guidebook.

    • Hamiltonian Monte Carlo Methods in Machine Learning

      • 1st Edition
      • February 3, 2023
      • Tshilidzi Marwala + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 9 0 3 5 3
      • eBook
        9 7 8 0 4 4 3 1 9 0 3 6 0
      Hamiltonian Monte Carlo Methods in Machine Learning introduces methods for optimal tuning of HMC parameters, along with an introduction of Shadow and Non-canonical HMC methods with improvements and speedup. Lastly, the authors address the critical issues of variance reduction for parameter estimates of numerous HMC based samplers. The book offers a comprehensive introduction to Hamiltonian Monte Carlo methods and provides a cutting-edge exposition of the current pathologies of HMC-based methods in both tuning, scaling and sampling complex real-world posteriors. These are mainly in the scaling of inference (e.g., Deep Neural Networks), tuning of performance-sensitiv... sampling parameters and high sample autocorrelation. Other sections provide numerous solutions to potential pitfalls, presenting advanced HMC methods with applications in renewable energy, finance and image classification for biomedical applications. Readers will get acquainted with both HMC sampling theory and algorithm implementation.

    • Energy Management in Homes and Residential Microgrids

      • 1st Edition
      • September 14, 2023
      • Reza Hemmati
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 7 2 8 7
      • eBook
        9 7 8 0 4 4 3 2 3 7 2 9 4
      Energy Management in Homes and Residential Microgrids: Short-Term Scheduling and Long-Term Planning provides an in-depth exploration of Home Energy Management Systems (HEMS), with a focus on practical applications for both short- and long-term models. Through this guide, readers will learn how to create efficient systems that facilitate the integration of renewable energy into the grid and simultaneously manage end-users' energy consumption. The short-term operation of Home Energy Management Systems is analyzed through various lenses, including renewable energy integration, energy storage integration, uncertainty in parameters, off-grid operation, outages and events, resilience, electric vehicle integration, and battery swapping strategy.The modelling of these topics is explained with step-by-step instructions, and the parameters and implications are thoroughly discussed. Additionally, the book offers insight into the long-term expansion planning for residential microgrids, providing a detailed examination of dynamic modeling, control, and stability of these small-scale energy systems. Throughout the book, simple and advanced examples are provided, and each example comes with numerical data, detailed formulation, modelling, and simulation.

    • Uncertainty in Data Envelopment Analysis

      • 1st Edition
      • May 19, 2023
      • Farhad Hosseinzadeh Lotfi + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 4 4 4 6
      • eBook
        9 7 8 0 3 2 3 9 9 4 4 5 3
      Classical data envelopment analysis (DEA) models use crisp data to measure the inputs and outputs of a given system. In cases such as manufacturing systems, production processes, service systems, etc., the inputs and outputs may be complex and difficult to measure with classical DEA models. Crisp input and output data are fundamentally indispensable in the conventional DEA models. If these models contain complex uncertain data, then they will become more important and practical for decision makers.Uncertainty in Data Envelopment Analysis introduces methods to investigate uncertain data in DEA models, providing a deeper look into two types of uncertain DEA methods, fuzzy DEA and belief degree-based uncertainty DEA, which are based on uncertain measures. These models aim to solve problems encountered by classical data analysis in cases where the inputs and outputs of systems and processes are volatile and complex, making measurement difficult.

    • Artificial Intelligence for Healthcare Applications and Management

      • 1st Edition
      • January 13, 2022
      • Boris Galitsky + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 4 5 2 1 7
      • eBook
        9 7 8 0 1 2 8 2 4 5 2 2 4
      Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients.

    • Deep Learning for Sustainable Agriculture

      • 1st Edition
      • January 9, 2022
      • Ramesh Chandra Poonia + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 2 1 4 2
      • eBook
        9 7 8 0 3 2 3 9 0 3 6 2 2
      The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm.

    • Deep Learning for Robot Perception and Cognition

      • 1st Edition
      • February 4, 2022
      • Alexandros Iosifidis + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 7 8 7 1
      • eBook
        9 7 8 0 3 2 3 8 8 5 7 2 0
      Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.

    • 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.

    • Data Analytics for Social Microblogging Platforms

      • 1st Edition
      • November 4, 2022
      • Soumi Dutta + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 7 8 5 8
      • eBook
        9 7 8 0 3 2 3 9 7 2 3 0 7
      Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.

    • Intelligent Environments

      • 2nd Edition
      • December 5, 2022
      • P. Droege
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 2 4 7 0
      • eBook
        9 7 8 0 1 2 8 2 0 2 4 8 7
      The promises and realities of digital innovation have come to suffuse everything from city regions to astronomy, government to finance, art to medicine, politics to warfare, and from genetics to reality itself. Digital systems augmenting physical space, buildings, and communities occupy a special place in the evolutionary discourse about advanced technology. The two Intelligent Environments books edited by Peter Droege span a quarter of a century across this genre. The second volume, Intelligent Environments: Advanced Systems for a Healthy Planet, asks: how does civilization approach thinking systems, intelligent spatial models, design methods, and support structures designed for sustainability, in ways that could counteract challenges to terrestrial habitability? This book examines a range of baseline and benchmark practices but also unusual and even sublime endeavors across regions, currencies, infrastructure, architecture, transactive electricity, geodesign, net-positive planning, remote work, integrated transport, and artificial intelligence in understanding the most immediate spatial setting: the human body. The result of this quest is both highly informative and useful, but also critical. It opens windows on what must fast become a central and overarching existential focus in the face of anthropogenic planetary heating and other threats—and raises concomitant questions about direction, scope, and speed of that change.

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