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Anupam Yadav

Работ: 8

Department of CEA, GLA University, Mathura 281406, India

  1. A DFT study of natural-based materials kaempferol and apigenin for hazardous CO and CO2 gas detection

    Ali Basem, Saade Abdalkareem Jasim, Mohamed J. Saadh +6

    СтатьяFree Radicals and AntioxidantsNano-Structures & Nano-Objects2024Цитирований: 1
    ABI

  2. Advanced machine learning framework for enhancing breast cancer diagnostics through transcriptomic profiling

    Mohamed J. Saadh, Hanan Hassan Ahmed, Radhwan Abdul Kareem +11

    СтатьяGene expression and cancer classificationDiscover Oncology2025Цитирований: 0
    ABI

  3. Universal data-driven models to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide: Correlation development and machine learning modeling

    Farag M. A. Altalbawy, Nadhir N.A. Jafar, Dharmesh Sur +10

    СтатьяPhase Equilibria and ThermodynamicsJournal of CO2 Utilization2025Цитирований: 0
    ABI

  4. Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends

    Farag M. A. Altalbawy, Fadhel F. Sead, Dharmesh Sur +8

    СтатьяPhase Equilibria and ThermodynamicsJournal of CO2 Utilization2025Цитирований: 0
    ABI

  5. 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

    СтатьяThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing2025Цитирований: 0
    ABI

  6. Reproducible meningioma grading across multi-center MRI protocols via hybrid radiomic and deep learning features

    Mohamed J. Saadh, Rafid Jihad Albadr, Dharmesh Sur +10

    СтатьяMeningioma and schwannoma managementNeuroradiology2025Цитирований: 0
    ABI

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

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

    СтатьяPhase Equilibria and ThermodynamicsSilicon2025Цитирований: 0
    ABI

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

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

    СтатьяCarbon Dioxide Capture TechnologiesChemical Papers2026Цитирований: 0
    ABI