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. 1 (2026): Volume 2, Issue 1 ( January - March 2026)
View Vol. 2 No. 1 (2026): Volume 2, Issue 1 ( January - March 2026)

The Journal of Statistical Sciences and Computational Intelligence (JSSCI) is pleased to announce Volume 2, Issue 1 (January – March 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: 2026-01-26

Articles

  • An enhanced Lorenz-based chaos cryptographic scheme with modular arithmetic and prime masking

    Umar Muhammad Dauda, Auwal Lawan, Isah Ali Ibrahim, Ibrahim Dauda Abdullahi, Yusuf Haruna
    1-15
    DOI: https://doi.org/10.64497/jssci.142

  • Topp-Leone exponential-Lomax distribution: Properties and applications

    A.A. Sanusi, S. I. Doguwa, A. Yahaya
    57-74
    DOI: https://doi.org/10.64497/jssci.132

  • Power transformation design-based calibration scheme of robust measures under stratified sampling

    Suleiman Haruna, Yisa Yakubu, Usman Abubakar, Fatimatu Bintu Siraj
    41-56
    DOI: https://doi.org/10.64497/jssci.173

  • Effects of variable amplitudes of corrugated surface on the dispersion of surface wave on a heterogeneous impedance half-space

    Augustine Igwebuike Anya
    16-32
    DOI: https://doi.org/10.64497/jssci.115

  • Efficient computation of statistical measures using C programming

    Muhammad Osama
    DOI: https://doi.org/10.64497/jssci.169

  • Development of a novel odd Weibull-half logistic distribution: Mathematical properties and applications

    G.K. Musa, I.A. Yunusa, Y. B. Usman
    93-122
    DOI: https://doi.org/10.64497/jssci.143

  • Statistical analysis of wheat production in Nigeria

    Muhammad Aliyu Auwal, Garba Abubakar Abdullahi, Muhammad Sadiq Nasir
    81-92
    DOI: https://doi.org/10.64497/jssci.136

  • Bayesian modelling of longitudinal data with space-time interaction and bootstrap analysis

    Aliyu Abba Mustapha, Hani Syahida Zulkafli, Jayanthi Arasan, Mohammed Abba Mustapha
    138-149
    DOI: https://doi.org/10.64497/jssci.174

  • Performance evaluation of supervised machine learning algorithms for diabetes prediction

    Babagana Modu, Kale Kawu Kale
    33-40
    DOI: https://doi.org/10.64497/jssci.126

  • Log-generalized exponential-Poisson regression model and its application to real data

    Kaihong Dong, Renwang Liao, Mustapha Muhammad , Jinsen Xiao
    123-137
    DOI: https://doi.org/10.64497/jssci.171

  • Development of an SQL injection detection and prevention model using genetic algorithm

    Samson Daniel, Edim Azom Emmanuel, Felix Ukpai Ogban
    75-80
    DOI: https://doi.org/10.64497/jssci.152
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