About the Journal

Transactions on Computational Modeling and Intelligent Systems (TCMIS) is a quarterly international peer-reviewed journal dedicated to disseminating high-quality research in computational modeling, intelligent systems, and their applications in science, engineering, and industry. It employs a rigorous peer-review process and follows an open-access publishing policy to promote high-quality international scientific publishing. The journal encourages bridging the gap between theory and the real world through original research results and review articles. Volumes are published periodically in January, April, July, and October.

Aim and Scope
TCMIS aims to become a leading platform for multidisciplinary research, publishing high-quality articles that employ intelligent methodologies computationally, with relevance to scientific applications. Authors are required to proceed with sufficient depth and rigor computationally and justify their findings through data.

TCMIS invites original research and review articles in, but not limited to, the areas: Computational modelling and simulation; mathematical modelling of complex systems; agent-based modelling; system dynamics; multi-scale models; fractional calculus; numerical analysis; machine learning; data-driven modelling; neural networks; metaheuristics; adaptive control; learning-based control; AI-driven decision support; optimal control; nonlinear control systems; robust control systems; dynamical systems; stability analysis; simulation-based optimization; deterministic/ stochastic decision models; supply chain modelling; logistics systems; production systems modelling.

Authors are encouraged to submit research papers that have theoretical, methodological, or algorithmic developments with practical implications or implementations. TCMIS is interested in research papers that have computational experiments, sensitivity analysis, or cross-validation with practical datasets or industrial problems, in particular.

eISSN: 3108-5202
Publisher: Gülşen YAMAN
Editor in Chief: Dumitru BALEANU

 

Announcements

TCMIS Now Included in Research Commons Over Web of Science

2025-11-10

We are pleased to inform our authors and readers that papers published in the Transactions on Computational Modeling and Intelligent Systems (TCMIS) will now be searchable and accessible in the Research Commons database via the Web of Science platform.

All papers published in TCMIS will now connect directly into a broader citation network via the Web of Science platform (through the Research Commons database), enhancing both global visibility and accessibility. This step underlines our commitment to the wider dissemination and easier discoverability of research published in the journal.

Read more about TCMIS Now Included in Research Commons Over Web of Science

Current Issue

Vol. 2 (2026): Transactions on Computational Modeling and Intelligent Systems - TCMIS
View Vol. 2 (2026): Transactions on Computational Modeling and Intelligent Systems - TCMIS
Published: 2026-01-07

Full Issue

Research Articles

  • Multi-composite general neural network approximation over finite dimensional Banach spaces

    George A. Anastassiou
    10051
    DOI: https://doi.org/10.65112/tcmis.10051

  • Advanced modeling for fire risk evaluation and intelligent preventive system

    Sabina Umirzakova, Shakhzod Javliev, Adkhambek Madaminov, Omadjon Urishev, Dilshoda Kurbonalieva, Ayhan Istanbullu, Akmalbek Abdusalomov
    10043
    DOI: https://doi.org/10.65112/tcmis.10043

  • Uncovering the significance of undone animals' flesh and early treatment on the dynamics of ascariasis using mathematical analysis

    James Andrawus, Ibrahim Ibrahim Muhammad, Felix Yakubu Eguda, Abdullahi Yusuf
    10012
    DOI: https://doi.org/10.65112/tcmis.10012

  • A selective review of modern stochastic modeling: SDE/SPDE numerics, data-driven identification, and generative methods with applications in biomathematics

    Yassine Sabbar, Kottakkaran Sooppy Nisar
    10028
    DOI: https://doi.org/10.65112/tcmis.10028

  • Enhancing pharmacokinetic modeling with the Upadhyaya transform and machine learning: A synergistic approach

    Prabakaran Raghavendran, Yamini Parthiban, Dinesh Thakur, Jothivelu Thiravidarani
    10024
    DOI: https://doi.org/10.65112/tcmis.10024
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