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6 ta ish

Ish: A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

  1. 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

  2. Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis

    Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav +11

    MaqolaMeningioma and schwannoma managementEuropean journal of medical research20250 iqtibos
    ABI

  3. Importance of Data Preprocessing for Accurate and Effective Prediction of Breast Cancer: Evaluation of Model Performance in Novel Data

    Vekani Baloyi, Jamolbek Mattiev, Sello Mokwena

    MaqolaAI in cancer detectionBig Data and Cognitive Computing20250 iqtibos
    ABI

  4. Accurate Estimation of Density of Liquid Siloxanes Via Robust Machine Learning Methods

    Huan Liu, Ayat Hussein Adhab, G. PadmaPriya +11

    MaqolaPhase Equilibria and ThermodynamicsSilicon20250 iqtibos
    ABI

  5. 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

  6. 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