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: Industry 4.0, smart manufacturing, and industrial engineering
    sub title: challenges and opportunities
  name:
    name part: Tyagi, Amit Kumar
    name part: 1988-
    role:
      role term: editor.
  name:
    name part: Tiwari, Shrikant
    role:
      role term: editor.
  name:
    name part: Ahmad, Sayed Sayeed
    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: "Industry 4.0 is in trend and used to increase productivity and profit in industries using smart manufacturing. This book discusses the impact of Industry 4.0, which represents the integration of digital technologies into manufacturing processes, in the field of industrial engineering. This book takes the reader on a journey through the multifaceted facets of Industry 4.0 and Smart Manufacturing and provides a comprehensive overview of the challenges and opportunities that this trend presents to industrial engineers, as well as offering practical insights and strategies for navigating this complex terrain. This book is an ideal read for researchers, undergraduate and postgraduate students as well as professionals working in industrial engineering and other related fields"--
  table of contents: Security concerns and controls of intelligent cobots of Industry 4.0 / Lakshmi Sravani Thummapudi, Aswani Kumar Cherukuri and Chloe Thong Chee Ling -- Big Data Analytics (BDA) for Industry 5.0 / Sharmila Rathod, Priya Parate, Nilesh Rathod and Samruddha Wagh -- Machine learning-enabled predictive analytics for quality assurance in Industry 4.0 and smart manufacturing: a case study on red and white wine quality classification / J Olalekan Awujoola, Enem Theophilus Aniemeka, Francisca Ogwueleka, Oluwasegun Abioye and R Olayinka Adelegan.
  note: edited by Amit Kumar Tyagi, Shrikant Tiwari and Sayed Sayeed Ahmad.
  note: Includes bibliographical references and index.
  note: Amit Kumar Tyagi is an Assistant Professor, at the National Institute of Fashion Technology, New Delhi, India. Previously he worked as an Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India from 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) from 2009 to 2010, and 2012 to 2013. He was an Assistant Professor and head researcher at Lingaya's Vidyapeeth (formerly known as Lingaya's University), India from 2018 to 2019. He supervised one PhD thesis and more than ten Master dissertations. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber-Physical Systems (MCPS). He has published over 200 papers in refereed high-impact journals, conferences, and books, and some of his articles won best paper awards. Also, he has filed more than 25 patents (Nationally and Internationally) in the areas of Deep Learning, Internet of Things, Cyber-Physical Systems, and Computer Vision. He has edited more than 25 books for IET, Elsevier, Springer, CRC Press, etc. Additionally, he has authored 4 Books on Intelligent Transportation Systems, Vehicular Ad-hoc Network, Machine learning and Internet of Things, with IET UK, Springer Germany, and BPB India publisher. He won the Faculty Research Award of the Year for 2020, 2021, and 2022 consecutively, given by Vellore Institute of Technology, Chennai, India. Recently, he was awarded the best paper award for his paper "A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient", in ICCSA 2020, Italy (Europe). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, IE…
  subject:
    topic: Industry 4.0
  subject:
    topic: Manufacturing processes
    topic: Automation
  subject:
    topic: Artificial intelligence
    topic: Forecasting
  subject:
    topic: Industrie 4.0
  subject:
    topic: Fabrication
    topic: Automatisation
  subject:
    topic: Intelligence artificielle
    topic: Prévision
  classification: T59.6
  classification: 670.285
  related item:
    title info:
      title: Industry 4.0, smart manufacturing, and industrial engineering
    origin info:
      publisher: Boca Raton, FL : CRC Press, 2025
      edition: First edition.
    identifier: (DLC) 2024011936
  identifier: 9781003473886
  identifier: 1003473881
  identifier: 9781040116944
  identifier: 1040116949
  identifier: 9781040116906
  identifier: 1040116906
  identifier: 9781032753270
  identifier: 9781032754116
  identifier: 2024011937
  identifier: 9781003473886 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 240709
    record change date: 20241108170142.0
    record identifier: in00005524048
    language of cataloging:
      language term: eng