Hasil Pencarian - Muhammad Sami Ullah

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  1. 1
    Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm

    Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm oleh Muhammad Sami Ullah, Muhammad Attique Khan, Anum Masood, Olfa Mzoughi, Oumaima Saidani, Nazik Alturki

    Diterbitkan 2024-02-01
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  2. 2
    BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification

    BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification oleh Muhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally, Majed Alhaisoni, Tallha Akram, Mohammad Shabaz

    Diterbitkan 2024-03-01
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  3. 3
    Protection-Enhanced Watermarking Scheme Combined With Non-Linear Systems

    Protection-Enhanced Watermarking Scheme Combined With Non-Linear Systems oleh Hira Nazir, Muhammad Sami Ullah, Syed Salman Qadri, Humaira Arshad, Mujtaba Husnain, Abdul Razzaq, Syed Ali Nawaz

    Diterbitkan 2023-01-01
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  4. 4
    Treatment of Four Stored-Grain Pests with Thiamethoxam plus Chlorantraniliprole: Enhanced Impact on Different Types of Grain Commodities and Surfaces

    Treatment of Four Stored-Grain Pests with Thiamethoxam plus Chlorantraniliprole: Enhanced Impact on Different Types of Grain Commodities and Surfaces oleh Waqas Wakil, Nickolas G. Kavallieratos, Nikoleta Eleftheriadou, Muhammad Sami Ullah, Aqsa Naeem, Khawaja G. Rasool, Mureed Husain, Abdulrahman S. Aldawood

    Diterbitkan 2023-07-01
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  5. 5
    Phenolic and flavonoid contents in Malva sylvestris and exploration of active drugs as antioxidant and anti-COVID19 by quantum chemical and molecular docking studies

    Phenolic and flavonoid contents in Malva sylvestris and exploration of active drugs as antioxidant and anti-COVID19 by quantum chemical and molecular docking studies oleh Ahmad Irfan, Muhammad Imran, Muhammad Khalid, Muhammad Sami Ullah, Noreen Khalid, Mohammed A. Assiri, Renjith Thomas, S. Muthu, Muhammad Asim Raza Basra, Mohammed Hussein, Abdullah G. Al-Sehemi, Mohsin Shahzad

    Diterbitkan 2021-08-01
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