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: Internet of things enabled machine learning for biomedical application
  name:
    name part: Goel, Neha
    name part: 1983-
    role:
      role term: editor.
  name:
    name part: Yadav, Ravindra Kumar
    name part: 1973-
    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: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 410 pages) : illustrations
  abstract: "The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images. This book: Covers the procedure to recognize emotions using image processing and the internet of things-enabled machine learning. Highlights security and privacy issues in the healthcare system using the internet of things. Discusses classification and implementation techniques of image segmentation. Explains different algorithms of machine learning for image processing in a comprehensive manner. Provides computational intelligence on the internet of things for future biomedical applications including lung cancer. It is primarily written for graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering"--
  table of contents: ML and IoT coupled Bio-Medical applications in Healthcare : Smart Growth and Upcoming Challenges / Vasanth R, Paranthaman M, Sivaprakash P -- Recent Advances in Ubiquitous Sustainable Healthcare Systems / Shwetha Baliga, Pushkar R Kulkarni -- IoT enabled Healthcare System using Machine Learning / Ms. P.Jothi Thilaga, Mr. K. Vignesh Saravanan, Dr. S. Kavi Priya, Dr. K. Vijayalakshmi -- An Efficient Architecture for Classification of Super Resolution Enhanced Human Chromosome Images / Dr. D. Menaka, Ms. K. S. Subhashini -- Applications of Machine Learning to the Impact of IoT in Biomedical Applications / Shwetha Baliga, Rakshita Basarakod, Kalathmika G, Nandana P Pillai, Jayashree Shivakumar, Preeti Yadav -- Ovarian Cancer Detection Using IoT-Based Intelligent Assistant and Blockchain Technology / Mohsen Ghorbian, Saeid Ghorbian -- Blood oxygen level and pulse rate measurement using hemodialysis using IoT and Computational Intelligence / Ms. N. Vigneshwari, Dr. C. Sivamani, Dr. S. Selvi, Dr. G. Revathy -- Dental Shade Matching using machine Learning Models / Shishira R, S Deepthi Nayak, Geetishree Mishra, M N Suma -- Brain Tumor Detection for Recognising Critical Brain Damage in Patients Using Computer Vision / Vivek Veeraiah, Parth Sharma, Kumud Saxena, Niraj Kumar Sahu, Khushboo Sharma, Jay Kumar Pandey -- Smart Therapist : The Mental Health detector / Arunabha Dutt, Nizar Banu P K, Akarshi Bansal, Krishna Bansal -- Medical Image Analysis based on Deep Learning Approach and Internet of Medical Things (IoMT) for early Diagnosis of Retinal disease / S. Karkuzhali, Thendal Puyalnethi, Senthilkumar S -- Intelligent E-Learning Platform Consolidating Web of Things and Chat-GPT Neha Katiyar, Mayank Deep Khare, Jatin Kumar, Ayush sharma, Sachin Rawat, Jyoti Srivastava -- Issues and Challenges in security and privacy with E-health care : a thorough literature analysis / Manikandan A, Sanjay T, Gautam Menon, Aswin R, Parthiv Bijumon Bhaskar, Mahadev Govind R, Ramprasad O G --…
  note: edited by Neha Goel and Ravindra Kumar Yadav.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Machine learning
  subject:
    topic: Internet of things
  subject:
    topic: Machine Learning
  subject:
    topic: Internet of Things
  subject:
    topic: Delivery of Health Care
    topic: methods
  subject:
    topic: Computing Methodologies
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Internet des objets
  classification: R859 .I58 2025
  classification: 610.285
  classification: W 26.55.A7
  related item:
    title info:
      title: Internet of things enabled machine learning for biomedical application
    origin info:
      publisher: Boca Raton FL : CRC Press, 2024
      edition: First edition.
    identifier: (DLC) 2024016752
  identifier: 9781003487647
  identifier: 1003487645
  identifier: 9781040097656
  identifier: 1040097650
  identifier: 9781040097663
  identifier: 1040097669
  identifier: 9781032550824
  identifier: 9781032783925
  identifier: 2024016753
  identifier: 9781003487647 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 240422
    record change date: 20250103165313.9
    record identifier: in00005611503
    language of cataloging:
      language term: eng