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: Soft Computing for Security Applications
    sub title: Proceedings of ICSCS 2022
  name:
    name part: Ranganathan, G.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Fernando, Xavier.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Piramuthu, Selwyn.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: si
    date issued: 2023
    edition: 1st ed. 2023.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XVI, 775 pages 366 illustrations, 282 illustrations in color)
  abstract: This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21-22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.
  table of contents: Smart Question Paper Evaluation: Automated Approach Using the Jaccard Similarity -- Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework -- Image Processing Techniques for PCB Board Fault Analysis with Object Extraction and Measurements -- Gamification of Knowledge Management System: A Framework to Incentivize Knowledge Sharing for the Software Industry -- Privacy Attributes Aware Framework in Information Disclosure Models for Public During Pandemic.
  note: edited by G. Ranganathan, Xavier Fernando, Selwyn Piramuthu.
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Data protection
  subject:
    topic: Computer networks-Security measures
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Data and Information Security
  subject:
    topic: Mobile and Network Security
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Advances in Intelligent Systems and Computing, 1428
  identifier: 9978-981-19-3590-9
  identifier: 9789811935909
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 220929
    record change date: 20240805192811.3
    record identifier: in00004654131