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

  • 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

  • Modeling of students’ cumulative grade-point average (CGPA): A Markov chain approach

    Ekemini U. George, Ikpang N. Ikpang, Akaninyene O. Ekong
    173-180
    DOI: https://doi.org/10.64497/jssci.119

  • Federated learning–based anomaly detection for privacy-preserving in IoT-enabled industrial control systems

    Obi Ofuka Princewill, Essien Eyo, Bassey I. Ele
    233-242
    DOI: https://doi.org/10.64497/jssci.203

  • 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

  • Length of hospital stay in typhoid fever patients: A retrospective study from Lagos State University Teaching Hospital

    Alfred Ayo Ayenigba, Rukayat Oluwabukola Shittu
    162-172
    DOI: https://doi.org/10.64497/jssci.85

  • 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

  • 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

  • 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 sine Topp-Leone exponentiated inverse exponential distribution: Properties and applications

    Isah Haruna, Yahaya Zakari, Buhari Ishaq
    204-223
    DOI: https://doi.org/10.64497/jssci.130

  • Anomaly detection framework using enhanced isolation forest for GDPR-DPIA-compliant credit card fraud detection in e-commerce

    Hafsat Ashafa, Aisha Umar Suleiman
    181-192
    DOI: https://doi.org/10.64497/jssci.161

  • Analysis of morphological characteristics of six varieties of cassava using discriminant analytical approach

    Samuel U. Enogwe, Chinelo U. Chikwelu, Goodluck O. Merua, Ihuoma L. Onyeugo
    224-232
    DOI: https://doi.org/10.64497/jssci.122

  • 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

  • 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

  • Mapping the heterogeneous influences on soil lead concentration using geographically weighted regression in northwestern Nigeria

    Usman Umar, Sani Nasiru Dauran, Ahijjo Yusuf Musa, Abubakar Muddassiru
    243-252
    DOI: https://doi.org/10.64497/jssci.178

  • A Bayesian two-state Markov chain model with categorical responses: An application to climatic conditions for crop growth

    V. Adah, J. A. Ikughur, S. C. Nwaosu, E. F. Udoumoh
    193-203
    DOI: https://doi.org/10.64497/jssci.137

  • 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

  • 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

  • Efficient computation of statistical measures using C programming

    Muhammad Osama
    150-161
    DOI: https://doi.org/10.64497/jssci.169

  • 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
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