About the Journal

The Journal of Statistical Sciences and Computational Intelligence (JSSCI) is an international, peer-reviewed, open-access journal dedicated to advancing research in statistical methodologies, computational intelligence, machine learning, artificial intelligence, and data science. It provides a multidisciplinary platform for researchers, academicians, and practitioners to publish high-quality original research, methodological innovations, practical applications, and comprehensive reviews.

JSSCI particularly welcomes submissions that bridge the gap between theoretical developments and real-world applications across a broad spectrum of fields, including health, environmental studies, engineering, artificial intelligence, and computational mathematics. The journal also covers key areas of mathematics such as probability theory, mathematical statistics, numerical analysis, optimization, stochastic processes, applied mathematics, and theoretical computer science.

JSSCI is committed to promoting the dissemination of mathematical and statistical knowledge and fostering international collaboration across disciplines.

The journal operates under the guidance of an experienced editorial team comprising distinguished scholars in statistics, computer science, mathematics, and computational intelligence.

JSSCI is a quarterly, peer-reviewed, open-access journal committed to the rapid dissemination of high-quality research to a global audience.

Publication in JSSCI is completely free of charge. JSSCI does not impose any article processing charges (APCs) or submission fees. Authors are welcome to submit and publish their manuscripts entirely at no cost.

ISSN: 3092-9458

Current Issue

Vol. 2 No. 3 (2026): Volume 2, Issue 3 (July - September 2026)
					View Vol. 2 No. 3 (2026): Volume 2, Issue 3 (July - September 2026)

The Journal of Statistical Sciences and Computational Intelligence (JSSCI) is pleased to announce Volume 2, Issue 3 (July – September 2026).

This issue continues our mission to publish high-quality, peer-reviewed research articles, reviews, and methodological advances across the fields of statistics, mathematics, computational intelligence, machine learning, artificial intelligence, and data science.

All articles in JSSCI are published as open access and completely free of charge, ensuring global visibility and accessibility.

We extend our gratitude to our authors, reviewers, and editors for their contributions to advancing research and supporting the journal’s mission

Published: 2026-07-02

Articles

  • An Infodemiological study of non-clinical COVID-19 preventive measures using Google Trends

    Babagana Modu, Haruna Aliyu
    713-723
    DOI: https://doi.org/10.64497/jssci.258
  • Multi-Objective enhanced binary bat algorithm for unsupervised feature selection with classification validation

    Alhassan Adamu, Isah Tajiri Sagagi, Salisu Mamman Abdulrahman, Umma Abubakar, Bashir Salisu Abubakar, Ali Olow Jimale
    767-776
    DOI: https://doi.org/10.64497/jssci.269
  • Feasible generalized least squares correction of autocorrelation in interrupted time series models

    Bilkisu Maijamaa, Babagana Modu
    705-712
    DOI: https://doi.org/10.64497/jssci.265
  • Predicting hospital length of stay in hepatitis B patients: a comparison of survival regression models

    Ibrahim Ali, Mohammed Abbas
    739-751
    DOI: https://doi.org/10.64497/jssci.187
  • Attitudes and acceptance of generative AI-assisted problem solving among Mathematics students

    Lin Sixian, Mustapha Muhammad, Jinsen Xiao
    752-766
    DOI: https://doi.org/10.64497/jssci.323
  • Comparative evaluation of ARFIMA and SARIMA models for forecasting rice production in Nigeria

    Ndubuisi O. Okoro, Olubisi L. Aako, Oluwatobi E. Omotola, Godwin C. Obi
    724-738
    DOI: https://doi.org/10.64497/jssci.267
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