Hasil Pencarian - Noha F. Mahmoud

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  1. 1
    Efficacy of Siwan Traditional Therapy on Erythrocyte Sedimentation Rate, Lipid Profile, and Atherogenic Index as Cardiac Risk Factors Related to Rheumatoid Arthritis

    Efficacy of Siwan Traditional Therapy on Erythrocyte Sedimentation Rate, Lipid Profile, and Atherogenic Index as Cardiac Risk Factors Related to Rheumatoid Arthritis oleh Noha F. Mahmoud, Nashwa M. Allam, Islam I. Omara, Howida A. Fouda

    Diterbitkan 2022-12-01
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  2. 2
    A Healthcare Paradigm for Deriving Knowledge Using Online Consumers’ Feedback

    A Healthcare Paradigm for Deriving Knowledge Using Online Consumers’ Feedback oleh Aftab Nawaz, Yawar Abbas, Tahir Ahmad, Noha F. Mahmoud, Atif Rizwan, Nagwan Abdel Samee

    Diterbitkan 2022-08-01
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  3. 3
    Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm

    Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm oleh Nagwan Abdel Samee, Tahir Ahmad, Noha F. Mahmoud, Ghada Atteia, Hanaa A. Abdallah, Atif Rizwan

    Diterbitkan 2022-11-01
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  4. 4
    RNN and BiLSTM Fusion for Accurate Automatic Epileptic Seizure Diagnosis Using EEG Signals

    RNN and BiLSTM Fusion for Accurate Automatic Epileptic Seizure Diagnosis Using EEG Signals oleh Nagwan Abdel Samee, Noha F. Mahmoud, Eman A. Aldhahri, Ahsan Rafiq, Mohammed Saleh Ali Muthanna, Ijaz Ahmad

    Diterbitkan 2022-11-01
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  5. 5
    An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites

    An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites oleh Fatma Hilal Yagin, Abedalrhman Alkhateeb, Ali Raza, Nagwan Abdel Samee, Noha F. Mahmoud, Cemil Colak, Burak Yagin

    Diterbitkan 2023-11-01
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  6. 6
    Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study

    Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study oleh Rustem Yilmaz, Fatma Hilal Yagin, Cemil Colak, Kenan Toprak, Nagwan Abdel Samee, Noha F. Mahmoud, Amnah Ali Alshahrani

    Diterbitkan 2024-03-01
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  7. 7
    Corrigendum: Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study

    Corrigendum: Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study oleh Rustem Yilmaz, Fatma Hilal Yagin, Cemil Colak, Kenan Toprak, Nagwan Abdel Samee, Noha F. Mahmoud, Amnah Ali Alshahrani

    Diterbitkan 2024-06-01
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  8. 8
    Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds

    Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds oleh Maali Alabdulhafith, Abduljabbar S. Ba Mahel, Nagwan Abdel Samee, Noha F. Mahmoud, Rawan Talaat, Mohammed Saleh Ali Muthanna, Tamer M. Nassef

    Diterbitkan 2024-01-01
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  9. 9
    Combining docking, molecular dynamics simulations, AD-MET pharmacokinetics properties, and MMGBSA calculations to create specialized protocols for running effective virtual screening campaigns on the autoimmune disorder and SARS-CoV-2 main protease

    Combining docking, molecular dynamics simulations, AD-MET pharmacokinetics properties, and MMGBSA calculations to create specialized protocols for running effective virtual screeni... oleh Emmanuel Israel Edache, Adamu Uzairu, Paul Andrew Mamza, Gideon Adamu Shallangwa, Fatma Hilal Yagin, Nagwan Abdel Samee, Noha F. Mahmoud

    Diterbitkan 2023-09-01
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  10. 10
    Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification

    Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification oleh Essam H. Houssein, Osama Mohamed, Nagwan Abdel Samee, Noha F. Mahmoud, Rawan Talaat, Aymen M. Al-Hejri, Riyadh M. Al-Tam

    Diterbitkan 2023-09-01
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  11. 11
    Therapeutic Efficacy of Transcutaneous Electrical Nerve Stimulation Acupoints on Motor and Neural Recovery of the Affected Upper Extremity in Chronic Stroke: A Sham-Controlled Randomized Clinical Trial

    Therapeutic Efficacy of Transcutaneous Electrical Nerve Stimulation Acupoints on Motor and Neural Recovery of the Affected Upper Extremity in Chronic Stroke: A Sham-Controlled Rand... oleh Reem M. Alwhaibi, Noha F. Mahmoud, Hoda M. Zakaria, Walaa M. Ragab, Nisreen N. Al Awaji, Mahmoud Y. Elzanaty, Hager R. Elserougy

    Diterbitkan 2021-05-01
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  12. 12
    The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning

    The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning oleh Ahmet Kurtoğlu, Özgür Eken, Rukiye Çiftçi, Bekir Çar, Emrah Dönmez, Serhat Kılıçarslan, Mona M. Jamjoom, Nagwan Abdel Samee, Dina S. M. Hassan, Noha F. Mahmoud

    Diterbitkan 2024-07-01
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  13. 13
    Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model

    Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model oleh Nagwan Abdel Samee, Noha F. Mahmoud, Ghada Atteia, Hanaa A. Abdallah, Maali Alabdulhafith, Mehdhar S. A. M. Al-Gaashani, Shahab Ahmad, Mohammed Saleh Ali Muthanna

    Diterbitkan 2022-10-01
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  14. 14
    A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms

    A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms oleh Riyadh M. Al-Tam, Aymen M. Al-Hejri, Sachin M. Narangale, Nagwan Abdel Samee, Noha F. Mahmoud, Mohammed A. Al-masni, Mugahed A. Al-antari

    Diterbitkan 2022-11-01
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  15. 15
    Gait Impairment Analysis Using Silhouette Sinogram Signals and Assisted Knowledge Learning

    Gait Impairment Analysis Using Silhouette Sinogram Signals and Assisted Knowledge Learning oleh Mohammed A. Al-masni, Eman N. Marzban, Abobakr Khalil Al-Shamiri, Mugahed A. Al-antari, Maali Ibrahim Alabdulhafith, Noha F. Mahmoud, Nagwan Abdel Samee, Yasser M. Kadah

    Diterbitkan 2024-05-01
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  16. 16
    EMG gesture signal analysis towards diagnosis of upper limb using dual-pathway convolutional neural network

    EMG gesture signal analysis towards diagnosis of upper limb using dual-pathway convolutional neural network oleh Hafiz Ghulam Murtza Qamar, Muhammad Farrukh Qureshi, Zohaib Mushtaq, Zubariah Zubariah, Muhammad Zia ur Rehman, Nagwan Abdel Samee, Noha F. Mahmoud, Yeong Hyeon Gu, Mohammed A. Al-masni

    Diterbitkan 2024-04-01
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  17. 17
    BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification

    BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification oleh Channabasava Chola, Abdullah Y. Muaad, Md Belal Bin Heyat, J. V. Bibal Benifa, Wadeea R. Naji, K. Hemachandran, Noha F. Mahmoud, Nagwan Abdel Samee, Mugahed A. Al-Antari, Yasser M. Kadah, Tae-Seong Kim

    Diterbitkan 2022-11-01
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