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Devendra Singh

Работ: 7

Department of Computer Science & Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, Uttarakhand, India

  1. Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics

    Heyder Mhohamdi, Usama S. Altimari, Krunal Vaghela +7

    СтатьяMachine Learning and Data ClassificationScientific Reports2025Цитирований: 1
    ABI

  2. Utilizing Advanced Techniques for the Extraction of Handwritten Text in Challenging Scenarios and Diverse Languages

    Devendra Singh, S. Rathika, Ramy Riad Al–Fatlawy +4

    СтатьяHandwritten Text Recognition Techniques2023Цитирований: 0
    ABI

  3. Emerging electrochemical, optical, electrochemiluminescence and photoelectrochemical bio(sensing) approaches for detection of vitamins in the food, pharmaceutical, and human samples: A review on recent advancements

    Raed H. Althomali, Kumaraswamy Gandla, Sarmad Ghazi Al‐Shawi +7

    Обзорная статьяAdvanced biosensing and bioanalysis techniquesMicrochemical Journal2023Цитирований: 0
    ABI

  4. Finite element analysis of bonded, riveted and hybrid joints in glass fibre epoxy composite laminates for aircraft structure

    Santosh Kulkarni, Devendra Singh, Laeth Hussain +4

    СтатьяMechanical Behavior of CompositesE3S Web of Conferences2024Цитирований: 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. Advanced hybrid evaluation of water treatment using porous materials for adsorption separation via machine learning and mechanistic models

    Pan Zhang, Usama S. Altimari, Krunal Vaghela +8

    СтатьяHydrological Forecasting Using AICase Studies in Thermal Engineering2025Цитирований: 0
    ABI

  7. Hybrid gradient boosting machine for precise prediction of biomass net output power in terms of proximate analysis

    L W Zhang, Ahmad Alkhayyat, Ahmad Almalkawi +8

    СтатьяThermochemical Biomass Conversion ProcessesEnergy Exploration & Exploitation2025Цитирований: 0
    ABI