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Journal Photo for Journal of Analysis and Computation
Peer reviewed only Open Access

Journal of Analysis and Computation (JAC)

Publisher : Journal of Analysis and Computation (JAC)
artificial intelligence Engineering Science
e-ISSN 0973-2861
Issue Frequency Monthly
Est. Year 2023
Mobile 1122336655
DOI YES
Country India
Language English
APC YES
Email editor@jaconline.com

Journal Descriptions

Journal of Analysis and Computation (JAC), is a scholarly peer-reviewed open access academic journal. The journal covers the frontier issues in the Engineering, Science, Technology and their applications in business, industry and other subjects. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, etc. and their applications. The journal is accessible to accredited universities and government libraries. All the papers in the journal are also available freely with online full-text content and permanent worldwide web link. The abstracts will be indexed and available at major academic databases.

Journal of Analysis and Computation (JAC) is :-

  • International, Peer-Reviewed, Open Access, Refereed, artificial intelligence, Engineering, Science, Technology, bioinformatics, computational statistics, data mining, Chemistry , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 0973-2861, Established: 2023,
  • Provides Crossref DOI
  • Indexed in: UGC CARE

  • Not indexed in Scopus, WoS, DOAJ, PubMed

Indexing

Publications of JAC

Nisha Patil December, 2023
The act of tilling and nurturing the land, engaging in the growth and harvest of various crops, and managing the rearing of domesticated animals is commonly denoted as the agricultural ente...
Pavithra M January, 2019
Semi-supervised clustering (SSC) is an important research problem in machine learning. While it is usually expected that the use of unlabelled data can improve performance, in many cases SS...