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10 ta ish

Ish: A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

  1. Advancing agriculture with machine learning: a new frontier in weed management

    Mohammad Mehdizadeh, Duraid K. A. Al-Taey, Anahita Omidi +5

    MaqolaSmart Agriculture and AIFrontiers of Agricultural Science and Engineering20240 iqtibos
    ABI

  2. Predictive modeling of oil rate for wells under gas lift using machine learning

    Fang Ma, Farag M. A. Altalbawy, Pinank Patel +9

    MaqolaReservoir Engineering and Simulation MethodsScientific Reports20250 iqtibos
    ABI

  3. Robust forecasting of packaging chemical migration into water and food

    Chuan'an Wei, Farag M. A. Altalbawy, Dharmesh Sur +8

    MaqolaAdvanced Chemical Sensor TechnologiesInternational Journal of Food Properties20250 iqtibos
    ABI

  4. Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis

    Guoliang Hou, Ahmed Alkhayyat, Ahmad Almalkawi +8

    MaqolaThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing20250 iqtibos
    ABI

  5. Predicting filter cake thickness in drilling fluids using machine learning techniques

    Minghui OU, Mohammed Al-Bahra, Raman Kumar +10

    MaqolaDrilling and Well EngineeringPhysics and Chemistry of the Earth Parts A/B/C20250 iqtibos
    ABI

  6. Machine learning approaches for estimating formation enthalpies in energetic materials

    Jianfeng Li, Farag M. A. Altalbawy, Hardik Doshi +8

    MaqolaMachine Learning in Materials ScienceJournal of Energetic Materials20250 iqtibos
    ABI

  7. Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

    Farag M. A. Altalbawy, Shoira Formanova, Ahmad Almalkawi +7

    MaqolaWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society20250 iqtibos
    ABI

  8. Predicting the Storage Modulus of Chromium‐Crosslinked Polymer Gels Through Advanced Machine Learning Techniques

    Farag M. A. Altalbawy, Raed H. C. Alfilh, Tarak Vora +8

    MaqolaMachine Learning in Materials SciencePolymers for Advanced Technologies20260 iqtibos
    ABI

  9. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

    Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

    MaqolaIonic liquids properties and applicationsChemical Papers20260 iqtibos
    ABI

  10. Machine learning frameworks to accurately compute CO2 capture in porous liquids

    Farag M. A. Altalbawy, Soumya V. Menon, Anupam Yadav +7

    MaqolaCarbon Dioxide Capture TechnologiesChemical Papers20260 iqtibos
    ABI