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5 ta ish

Ish: Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T solar systems

  1. Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models

    Yi Ru, Ali B.M. Ali, Karwan Hussein Qader +5

    MaqolaNanofluid Flow and Heat TransferInternational Journal of Thermal Sciences20251 iqtibos
    ABI

  2. Intelligent design of lithium-ion battery thermal management systems for electric vehicles: Integration of gene expression programming modeling and multi-objective atomic orbital search optimization

    Hangxin Liu, Ahmad Alkhayyat, Normurot Fayzullaev +7

    MaqolaAdvanced Battery Technologies ResearchJournal of Power Sources20260 iqtibos
    ABI

  3. Advancing unsupervised clustering: A systematic review of hybrid K-means and metaheuristic optimization algorithms in data mining

    Reza Iqbal Pramudya, Tonni Agustiono Kurniawan, Muhammad Helmi Candra +2

    MaqolaAdvanced Clustering Algorithms ResearchComputer Science Review20260 iqtibos
    ABI

  4. An intelligent multi-objective decision framework for geothermal–LNG assisted co-generation of power, natural gas, and hydrogen

    Bhishma Karki, Dessalegn Ahmed Yeshanew, Ilkhom Khaydarov +7

    MaqolaHybrid Renewable Energy SystemsInternational Communications in Heat and Mass Transfer20260 iqtibos
    ABI

  5. Integration of ANN tuned by the chameleon swarm algorithm and multi-objective besiege and conquer algorithm for emission and performance optimization of diesel/methanol engines

    Biju Theruvil Sayed, Zyad Shaaban, Hamad AlMohamadi +7

    MaqolaAdvanced Combustion Engine TechnologiesInternational Communications in Heat and Mass Transfer20260 iqtibos
    ABI