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: Data-driven systems and intelligent applications
  name:
    name part: Ghonge, Mangesh M.
    role:
      role term: editor.
  name:
    name part: Chaitanya, N. Krishna
    role:
      role term: editor.
  name:
    name part: Pradeep, N.
    name part: 1977-
    role:
      role term: editor.
  name:
    name part: Garg, Harish
    role:
      role term: editor.
  name:
    name part: Bruno, Alessandro
    name part: (Computer engineer)
    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.
  abstract: "This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing. This book: Discusses intelligent systems and cloud computing with the help of artificial intelligence and machine learning. Showcases the importance of machine learning and deep learning in data-driven and cloud-based applications to improve their capabilities and intelligence. Presents the latest developments in data-driven and cloud applications with respect to their design and architecture. Covers artificial intelligence methods along with their experimental result analysis through data processing tools. Presents the advent of machine learning, deep learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services. The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering"--
  table of contents: Introduction to data driven intelligent systems / G.Vimala Kumari, Babji Prasad Chapa, Nosina Krishna Chaitanya, Rupesh G. Mahajan, Minal Shahakar -- Challenges and techniques in data driven systems / Sandeep G Shukla, Pradnya K Bachhav, Pravin R Pachorkar, Akshay R Jain, Pramod C Patil, Piyush R Kulkarni -- Role of artificial intelligence in healthcare applications using various bio medical signals / Gundala Jhansi Rani, Mohammad Farukh Hashmi.
  note: edited by Mangesh M Ghonge, N Krishna Chaitanya, Pradeep N, Harish Garg and Alessandro Bruno.
  note: Includes bibliographical references and index.
  note: Mangesh M. Ghonge is currently working as an Associate Professor at Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India. He received his Ph.D. in Computer Science & Engineering from Sant Gadge Baba Amravati University, Amravati, India. He authored/co-authored more than 70 published articles in prestigious journals, book chapters, and conference papers. Besides, Dr. Mangesh Ghonge authored/edited 12 international books published by recognized publishers. He has been invited as a resource person for many workshops/FDP. He has organized and chaired many national/international conferences and conducted various workshops. He is editor-in-chief of International Journal of Research in Advent Technology (IJRAT), E-ISSN 2321-9637. He is also guest editor for SCIE/Scopus indexed journal special issues. His two-patent published and five copyright granted. Dr. Mangesh Ghonge has 12+ years of teaching experience and guided more than 40+ UG projects and 10 PG scholars. His research interest includes security in wireless networks, artificial intelligence, and blockchain technology. He taught subjects like Data Analytics, Machine Learning, Network Security, Software Modeling and Design, Database Management Systems etc. He is a senior member of IEEE and member of CSI, IACSIT, IAENG, IETE, and CSTA. N. Krishna Chaitanya, currently working as a Professor in ECE at RSR Engineering College, Kavali and he has 20 years of teaching experience. He received his Ph.D degree from JNT University Kakinada, India. He has published more than 65 articles in reputed International Journals, book chapters and international conferences. He authored 4 text books and 2 patent grants. He is a reviewer, Associate Editor and editor for Scopus Journals and SCI journals like Springer, Elsevier, IGI Global, and Wiley. He attended more than 25 workshops/training programs. He is a member in various technical forums like ISTE, IAENG, SCIEI, IACSIT and SDIWC. He guided more than 30 PG an…
  subject:
    topic: Big data
  subject:
    topic: Artificial intelligence
    topic: Data processing
  subject:
    topic: Cloud computing
  subject:
    topic: Intelligence artificielle
    topic: Informatique
  subject:
    topic: COMPUTERS / Computer Engineering
  classification: QA76.9.B45
  classification: 005.7
  related item:
    title info:
      title: Intelligent data-driven systems and artificial intelligence
  related item:
    title info:
      title: Data-driven systems and intelligent applications
    origin info:
      publisher: Boca Raton, FL : CRC Press, 2025
      edition: First edition.
    identifier: (DLC) 2024030982
  identifier: 9781003388449
  identifier: 1003388442
  identifier: 9781040126165
  identifier: 1040126162
  identifier: 9781040126158
  identifier: 1040126154
  identifier: 9781032445960
  identifier: 9781032483184
  identifier: 2024030983
  identifier: 9781003388449 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 240809
    record change date: 20241108164600.9
    record identifier: in00005518408
    language of cataloging:
      language term: eng