Journal of Computational Science and Data Analytics (JCSDA)
Journal Descriptions
The Journal of Computational Science and Data Analytics serves as a cutting-edge platform for innovative research bridging the gap between computational science and data analytics. It focuses on solving complex, multi-scale, and multi-domain problems in science and engineering through the integration of artificial intelligence, computational intelligence, and mathematical approaches. The journal provides an avenue for the rapid dissemination of technological advancements and data-driven decision-making strategies.
Journal of Computational Science and Data Analytics (JCSDA) is :-
-
International, Peer-Reviewed, Open Access, Refereed, Computational Intelligence, Machine learning, artificial intelligence, and sophisticated numerical methods, Data Analytics, Big data analysis, functional data analysis, spatial data analysis, predictive modelling, Interdisciplinary Science, Applications in biometrics, econometrics, bioinformatics, image analysis, computational genomics, Algorithms & Simulation, Optimization methods, Bayesian computing, Monte Carlo simulation techniques, Computational Science, Data Science, Mathematics , Online , Semiannual Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2959-6912, Established: 2022,
- Does Not Provide Crossref DOI
-
Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE