Back to Top

Journal of Analysis and Computation (JAC)

Publisher :

Journal of Analysis and Computation (JAC)

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • artificial intelligence
  • Engineering
  • Science
  • +5

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 in - 2023, Impact Factor

Provide Crossref DOI

Indexed in UGC CARE

Not indexed in Scopus, WoS, DOAJ, PubMed

Publications of JAC

GRAPE QUALITY PREDICTION IN PRE - POST HARVESTING WITH IMPLEMENTATION OF FUSION DEEP LEARNING

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...

A Novel Approach for Semi Supervised Clustering Algorithm

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...

Establish Your Own Journal Without the Expense!

OJSCloud offers a complete, free setup to get you publishing.

Start Your Free Journal!
free profile