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: Synergistic interaction of big data with cloud computing for Industry 4.0
  name:
    name part: Zalte, Sheetal S.
    role:
      role term: editor.
  name:
    name part: Chatterjee, Indranath
    role:
      role term: editor.
  name:
    name part: Kamat, Rajanish K.
    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: 2023
    copyright date: 2023
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xii, 204 pages) : illustrations (some color).
  abstract: "Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 discusses how to develop adaptive, robust, scalable, and reliable applications used in solutions for day-to-day problems. It reviews the advantages and consequences of utilizing Cloud Computing to tackle Big Data issues within the manufacturing and production sector as part of Industry 4.0. Top Big Data experts throughout the world have contributed their expertise to this book, addressing the major challenges, issues, and advances in Big Data and Cloud Computing for Industry 4.0"--
  table of contents: Bigdata based on fuzzy time series forecasting for stock index prediction / Ruchismita Majumder, Partha Pratim Deb, Diptendu Bhattacharya -- Big data based time series forecasting using FB prophet for stock index / Debankita Mukhopadhyay, Sourabarna Roy, Partha Pratim Deb -- The impact of artificial intelligence and big data in the postal sector / Mary Olawuyi Ojo, Indranath Chatterjee, Sheetal Gaikwad -- Advances in cloud technologies and future trends / Indra Kumari, Jungsuk Song, Buseung Cho -- Reinforcement of the multi-cloud infrastructure with edge computing / L. Steffina Morin, P. Murali -- Study and investigation of PKI based blockchain infrastructure / R. Deshmukh, S. Gaikwad -- Stock index forecasting using stacked LTSM -- deep learning & big data / Debasmita Pal, Partha Pratim Deb -- A comparative study and analysis of time-series and deep learning algorithms for bitcoin price prediction / Sagar Chakraborty, Nivedita Das, Kisor Ray -- Machine learning for healthcare / Udeechee, T.V. Vijay Kumar -- Transfer learning and fine tuning based early detection of cotton plant disease / Himani Bhatheja, N. Jayanthi -- Recognition of facial expressions of infrared images for lie detection with the use of support vector machine / Rupali Dhabarde, D.V. Kodavade, Rashmi Deshmukh, Sheetal Gaikwad -- SVM for classification of remote sensing images -- a review / Parijata Majumdar, Suchanda Dey, Sourav Bardhan, Sanjoy Mitra -- A study on data cleaning of hydrocarbon resource under deep sea water using imputation technique based approach of data science / Dipjyoti Deb.
  note: edited by Sheetal S. Zalte-Gaikwad, Indranath Chatterjee, and Rajanish K. Kamat.
  note: Includes bibliographical references and index.
  note: Dr. Sheetal S. Zalte-Gaikwad is an assistant professor in Computer Science Department at Shivaji University, Kolhapur, India. She pursued a Bachelor of Computer Science from Pune University, India, in 2002 and a Master of Computer Science from Pune, India, in the year 2004. She earned her Ph.D. in Mobile Adhoc Network at Shivaji University. She has 14 years of teaching experience in computer science. She has published 20+ research papers in reputed international journals and conferences, including IEEE, and it's also available online. She has also authored book chapters with Springer. Her research areas are Manet, Vanet, Blockchain Security. Dr. Indranath Chatterjee is working as a Professor in the Department of Computer Engineering at Tongmyong University, Busan, South Korea. He received his Ph. D. in Computational Neuroscience from the Department of Computer Science, University of Delhi, India. His research areas include Computational Neuroscience, Schizophrenia, Medical Imaging, fMRI, and Machine learning. He has authored and edited 8 books on Computer Science and Neuroscience published by renowned international publishers. He has published numerous research papers in international journals and conferences. He is a recipient of various global awards in neuroscience. He is currently serving as a Chief Section Editor of a few renowned international journals, a member of the Editorial board of various international journals, and an Advisory board member in various "Open-Science" organizations worldwide. He is presently working on several projects for government & non-government organizations as PI/co-PI, related to medical imaging and machine learning for a broader societal impact, collaborating with several universities globally. He is an active professional member of the Association of Computing Machinery (ACM, USA), Organization of Human Brain Mapping (OHBM, USA), Federations of European Neuroscience Society (FENS, Belgium), Association for Clinical Neurology and…
  subject:
    topic: Big data
  subject:
    topic: Cloud computing
  subject:
    topic: Industry 4.0
  subject:
    topic: Données volumineuses
  subject:
    topic: Infonuagique
  subject:
    topic: Industrie 4.0
  subject:
    topic: TECHNOLOGY / Manufacturing
  subject:
    topic: COMPUTERS / Database Management / Data Mining
  subject:
    topic: Big data
  subject:
    topic: Cloud computing
  subject:
    topic: Industry 4.0
  classification: QA76.9.B45 S96 2023
  classification: 005.7
  related item:
    title info:
      title: Innovations in big data and machine learning
  related item:
    title info:
      title: Synergistic interaction of big data with cloud computing for Industry 4.0
    origin info:
      publisher: Boca Raton : CRC Press, 2023
      edition: First edition.
    identifier: (DLC) 2022024157
  identifier: 9781003279044
  identifier: 100327904X
  identifier: 9781000784268
  identifier: 1000784266
  identifier: 9781000784282
  identifier: 1000784282
  identifier: 9781032245089
  identifier: 9781032245096
  identifier: 2022024158
  identifier: 9781003279044 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220904
    record change date: 20241108165737.9
    record identifier: in00005523050
    language of cataloging:
      language term: eng