rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Deep learning and IoT in healthcare systems
    sub title: paradigms and applications
  name:
    name part: Singh, Krishna Kant (Telecommunications professor)
    role:
      role term: editor.
  name:
    name part: Singh, Akansha
    role:
      role term: editor.
  name:
    name part: Lin, Jenn-Wei
    role:
      role term: editor.
  name:
    name part: Elngar, Ahmed A.
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2022
    copyright date: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations (some color)
  abstract: "This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide. The authors look at the role and impact that deep learning and the IoT plays in healthcare systems, such as the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies. Deep Learning and IoT in Healthcare Systems: Paradigms and Applications provides an abundance of valuable and useful information for advanced students, scholars and researchers, and industry professionals working with healthcare systems backed by IoT and deep learning techniques"--
  table of contents: Deep Learning for Healthcare / C. Deepa and K. Tharageswari -- Role of AI in Healthcare / Sonia Singla -- Case Studies: Healthcare and Deep Learning / Ashish Tripathi, Arun Kumar Singh, K.K. Mishra, Pushpa Choudhary, and Prem Chand Vashist -- Assistive Devices and IoT in Healthcare Functions / Abhineet Anand, Sai Prasad Mishra, and Subrata Sahana -- Impact of IoT on Healthcare-Assistive Devices / R. Indrakumari, Rishabh Kumar Srivastava, Subba, and Manavalan -- Smart Fall Detection Systems for Elderly Care / Pratik Bhattacharjee and Suparna Biswas -- Smart Sensors Transform Healthcare System / Amrita Rai, Shylaja Vinaykumar Karatangi, Reshu Agarwal, and Om Prakash -- Healthcare Applications of Internet of Things (IoT) / Ritam Dutta, Subhadip Chowdhury, and Ahmed A Elngar -- Mobile-App-Enabled System for Healthcare / Vikram Sandhu and Harleen Kaur -- Energy-Efficient Network Design for Healthcare Services / Amit Sehgal, T. L. Singal, Rajeev Agrawal, and Sweta Sneha -- Applying Data Mining to Detect the Mental State and Small Muscle Movements for the Autistics (ASD) / Rashbir Singh, Prateek Singh, and Latika Kharb.
  note: edited by Krishna Kant Singh, PhD, Akansha Singh, PhD, Jenn-Wei Lin, PhD, Ahmed A. Elngar, PhD.
  note: Includes bibliographical references and index.
  note: Krishna Kant Singh, PhD, is Professor in Computer Science and Engineering, Faculty of Engineering and Technology, Jain (Deemed-to-be University), Bengaluru, India. He has wide teaching and research experience. He has authored more than 50 research papers in Scopus- and SCIE-indexed journals as well as 25 technical books. He is also Associate Editor of the Journal of Intelligent & Fuzzy Systems and IEEE ACCESS and a guest editor of Open Computer Science. He is also amember of the editorial boardfor Applied Computing & Geoscience.Akansha Singh, PhD, is Associate Professor in the Department of Computer Science and Engineering, ASET, Amity University, Noida, India. She has to her credit more than 40 research papers, 20 books, and numerous conference papers. She has been the editor for books on emerging topics and has served as a reviewer and technical committee member for multiple conferences and journals. She is also the Associate Editor for IEEE Access. Dr. Singh has also undertaken a government-funded project as a principal investigator. Her research areas include image processing, remote sensing, IoT, and machine learning.Jenn-Wei Lin, PhD, is Professor with the Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan. Prior to that, he was a researcher with Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan, from 1993 to 2001. His current research interests include cloud computing, mobile computing and networks, distributed systems, and fault-tolerant computing.Ahmed A. Elngar, PhD, is the Founder and Head of Scientific Innovation Research Group and Assistant Professor in the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt, where he is also Director of the Technological and Informatics Studies Center. Dr. Elngar has published more than 25 scientific research papers and several books. He participates in many professional activities such as organizing workshops hosted by universities throughout E…
  subject:
    topic: Medical informatics
  subject:
    topic: Medical care
    topic: Data processing
  subject:
    topic: Medicine
    topic: Data processing
  subject:
    topic: Medical Informatics
  subject:
    topic: Medical Informatics Applications
  subject:
    topic: Médecine
    topic: Informatique
  subject:
    topic: Soins médicaux
    topic: Informatique
  subject:
    topic: COMPUTERS / Artificial Intelligence
  subject:
    topic: Medicine
    topic: Data processing
  subject:
    topic: Medical care
    topic: Data processing
  subject:
    topic: Medical informatics
  classification: R858 .D46 2022
  classification: 610.285
  classification: cci1icc
  related item:
    title info:
      title: Deep learning and Iot in healthcare systems
    origin info:
      publisher: Palm Bay, FL : Apple Academic Press, 2021
      edition: First edition.
    identifier: (DLC) 2021014038
  identifier: 9781003055082
  identifier: 1003055087
  identifier: 9781000089165
  identifier: 1000089169
  identifier: 9781000089141
  identifier: 1000089142
  identifier: 9781000089189
  identifier: 1000089185
  identifier: 9781771889322
  identifier: 9781774638118
  identifier: 2021014039
  identifier: 9781003055082 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 210412
    record change date: 20241108165658.2
    record identifier: in00005521400
    language of cataloging:
      language term: eng