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: Mathematical modeling for intelligent systems
    sub title: theory, methods, and simulation
  name:
    name part: Awasthi, Mukesh Kumar
    role:
      role term: editor.
  name:
    name part: Tomar, Ravi
    role:
      role term: editor.
  name:
    name part: Gupta, Maanak
    name part: 1989-
    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: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 volume) : illustrations (black and white).
  abstract: Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results. Key Features: Offers a well-balanced mathematical analysis of modeling physical systems Summarizes basic principles in differential geometry and convex analysis as needed Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc. This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.
  note: edited by Mukesh Kumar Awasthi, Ravi Tomar, Maanak Gupta.
  note: Includes bibliographical references and index.
  note: Dr. Mukesh Kumar Awasthi working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India. He completed his doctorate with a major in Mathematics from the Indian Institute of Technology Roorkee, Roorkee, India in 2012. He has qualified for various National level competitive exams in the area of Mathematical Sciences. He has been a recipient of a research fellowship under the Council of Scientific and Industrial Research, India during his Ph.D. His research areas include Computational Fluid Dynamics, Heat transfer, Applied Mathematical Modeling, and Numerical analysis, etc. He loves to teach applied mathematics courses to undergraduate, postgraduate, and Ph.D. students. He has been indifferent to academic and administrative positions during his academic profession. He has more than 100 publications (90 SCI indexed, 92 Scopus indexed) to his credit in the high impact factor journals of international repute. He has attended many symposia, workshops, and conferences in mathematics as well as fluid mechanics. He has got research awards consecutively four times from the University of Petroleum and Energy Studies, Dehradun, India. He has also received the start-up research fund for his project "Nonlinear study of the interface in multilayer fluid system" from UGC, New Delhi. Dr Ravi Tomar is currently working as Associate Professor in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, India. Skilled in Programming, Computer Networking, Stream processing, Core Java, J2EE, RPA and CorDApp, his research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, big data technologies and VANET. He has authored 51+ papers in different research areas, filled four Indian patent, edited 5 books and have authored 5 books. He has delivered Training to corporates nationally and internationally on Confluent Apache K…
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
    topic: Mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Intelligence informatique
  subject:
    topic: Intelligence artificielle
    topic: Mathématiques
  subject:
    topic: COMPUTERS / Computer Science
  subject:
    topic: COMPUTERS / Information Technology
  subject:
    topic: Artificial intelligence
    topic: Mathematics
  subject:
    topic: Computational intelligence
  subject:
    topic: Mathematical models
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Mathematical modeling for intelligent systems
    origin info:
      publisher: Boca Raton : Chapman & Hall/CRC, 2022
    identifier: (OCoLC)1328017967
  identifier: 9781003291916
  identifier: 1003291910
  identifier: 1000618404
  identifier: 9781000618372
  identifier: 1000618374
  identifier: 9781000618402
  identifier: 9781032272252
  identifier: 1032272252
  identifier: 9781003291916 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 220615
    record change date: 20241111204728.4
    record identifier: in00005527787
    language of cataloging:
      language term: eng