Hasil Pencarian - Mohammed Alawad

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  1. 1
    Stochastically Estimating Modular Criticality in Large-Scale Logic Circuits Using Sparsity Regularization and Compressive Sensing

    Stochastically Estimating Modular Criticality in Large-Scale Logic Circuits Using Sparsity Regularization and Compressive Sensing oleh Mohammed Alawad, Ronald F. DeMara, Mingjie Lin

    Diterbitkan 2015-03-01
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  2. 2
    Impacting Robustness in Deep Learning-Based NIDS through Poisoning Attacks

    Impacting Robustness in Deep Learning-Based NIDS through Poisoning Attacks oleh Shahad Alahmed, Qutaiba Alasad, Jiann-Shiun Yuan, Mohammed Alawad

    Diterbitkan 2024-04-01
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  3. 3
    Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

    Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML oleh Shahad Alahmed, Qutaiba Alasad, Maytham M. Hammood, Jiann-Shiun Yuan, Mohammed Alawad

    Diterbitkan 2022-07-01
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  4. 4
    Molecular Dynamics Simulations to Decipher the Role of Phosphorylation of SARS-CoV-2 Nonstructural Proteins (nsps) in Viral Replication

    Molecular Dynamics Simulations to Decipher the Role of Phosphorylation of SARS-CoV-2 Nonstructural Proteins (nsps) in Viral Replication oleh Lamya Alomair, Sabeena Mustafa, Mohsin Saleet Jafri, Wardah Alharbi, Abdulrhman Aljouie, Fahad Almsned, Mohammed Alawad, Yahya Abdulfattah Bokhari, Mamoon Rashid

    Diterbitkan 2022-11-01
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  5. 5
    Using case-level context to classify cancer pathology reports.

    Using case-level context to classify cancer pathology reports. oleh Shang Gao, Mohammed Alawad, Noah Schaefferkoetter, Lynne Penberthy, Xiao-Cheng Wu, Eric B Durbin, Linda Coyle, Arvind Ramanathan, Georgia Tourassi

    Diterbitkan 2020-01-01
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  6. 6
    ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis

    ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis oleh Yahya Bokhari, Areej Alhareeri, Abdulrhman Aljouie, Aziza Alkhaldi, Mamoon Rashid, Mohammed Alawad, Raghad Alhassnan, Saad Samargandy, Aliakbar Panahi, Wolfgang Heidrich, Tomasz Arodz

    Diterbitkan 2022-07-01
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  7. 7
    Peripapillary atrophy classification using CNN deep learning for glaucoma screening

    Peripapillary atrophy classification using CNN deep learning for glaucoma screening oleh Abdullah Almansour, Mohammed Alawad, Abdulrhman Aljouie, Hessa Almatar, Waseem Qureshi, Balsam Alabdulkader, Norah Alkanhal, Wadood Abdul, Mansour Almufarrej, Shiji Gangadharan, Tariq Aldebasi, Barrak Alsomaie, Ahmed Almazroa

    Diterbitkan 2022-01-01
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  8. 8
    Peripapillary atrophy classification using CNN deep learning for glaucoma screening.

    Peripapillary atrophy classification using CNN deep learning for glaucoma screening. oleh Abdullah Almansour, Mohammed Alawad, Abdulrhman Aljouie, Hessa Almatar, Waseem Qureshi, Balsam Alabdulkader, Norah Alkanhal, Wadood Abdul, Mansour Almufarrej, Shiji Gangadharan, Tariq Aldebasi, Barrak Alsomaie, Ahmed Almazroa

    Diterbitkan 2022-01-01
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  9. 9
    Deep active learning for classifying cancer pathology reports

    Deep active learning for classifying cancer pathology reports oleh Kevin De Angeli, Shang Gao, Mohammed Alawad, Hong-Jun Yoon, Noah Schaefferkoetter, Xiao-Cheng Wu, Eric B. Durbin, Jennifer Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia Tourassi

    Diterbitkan 2021-03-01
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