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: IoT and machine learning for smart applications
  title info:
    title: Internet of Things and machine learning for smart applications
  name:
    name part: Selvi, G. Vennira
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Kumar, T. Ganesh
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Prasad, M. (Mathivanan)
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Hajare, Raju
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Rishi, Priti
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2025
    copyright date: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xi, 198 pages) : illustrations
  abstract: "This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically Machine learning-as-a-Service (MLaaS) to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be put to use in various fields. Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications Covers machine-learning approaches that address the difficulties posed by IoT-generated data for smart applications Describes how various methods are used to extract higher-level information from IoT-generated data Presents the latest technologies and research findings on IoT for smart Applications Focuses on how Machine Learning algorithms are used in various real-world smart applications and engineering problems It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields"-- Provided by publisher.
  table of contents: Recent advances in machine learning strategies and its applications / S. Saranyadevi, Lekshmi Gangadhar -- Understanding the concept of IoT / C. Emilin Shyni, Megha Menon K, Anesh D Sundar -- Unlocking the power of IoT : an in-depth exploration / Prakash Shanmurthy, Damodharan D, Anandhan Karunanithi, Pajany M, J. John Bennet -- Machine learning in Internet of Things / Sujni Paul , Grasha Jacob -- Role of machine learning in real life environment / Balasaraswathi V R, Nathezhtha T, Vaissnavie V, Rajashree -- Efficient blockchain based edge computing system using transfer learning model / P. Sivakumar, S. Nagendra Prabhu, S. K. Somasundaram, J. Uma Maheswari, Murali Murugan -- Introducing a compact and high-speed machine learning accelerator for IoT enabled health monitoring systems / Kavitha V P, Magesh V, Theivanathan G, S. S. Saravana Kumar -- Realization of smart city based on IoT and AI / Pavithra N, Sapna R, Preethi, Manasa C M, Raghavendra M Devadas -- Sentiment analysis of airline tweets using machine learning algorithms and regular expression / S.Nagendra Prabhu, A.P. Rohith, Shubhankar Bhope, P.Siva Kumar -- Smart workspace automation : harnessing IoT and AI for sustainable urban development and improved quality of life / Sapna R, Preethi, Pavithra N, Manasa C M, Raghavendra M Devadas -- Application of digital image watermarking in the Internet of Things and machine learning / K. Prabha , I. Shatheesh Sam.
  note: edited by G. Vennira Selvi, T. Ganesh Kumar, M. Prasad, Raju Hajare, and Priti Rishi.
  note: "A Chapman & Hall book" -- title page.
  note: Includes bibliographical references and index.
  subject:
    topic: Internet of things
    topic: Industrial applications
    genre: Case studies
  subject:
    topic: Machine learning
    topic: Industrial applications
    genre: Case studies
  subject:
    topic: Machine learning
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Internet des objets
    topic: Applications industrielles
    genre: Études de cas
  subject:
    topic: Apprentissage automatique
    topic: Applications industrielles
    genre: Études de cas
  classification: TK5105.8857 .I675 2025
  classification: 006.3/1
  related item:
    title info:
      title: IoT and machine learning for smart applications
    origin info:
      publisher: Boca Raton : C&H, CRC Press, 2025
    identifier: (DLC) 2024040624
  identifier: 9781032623276 (electronic bk.)
  identifier: 1032623276
  identifier: 9781040304303
  identifier: 1040304303
  identifier: 9781040304341
  identifier: 1040304346
  identifier: 9781032621081
  identifier: 9781032623269
  identifier: 2024040625
  location:
    physical location: POD
  record info:
    record content source: DLC
    record creation date: 250318
    record change date: 20250810205609.6
    record identifier: in00005658006
    language of cataloging:
      language term: eng