Hasil Pencarian - Mohammed M Abdelsamea

  • Menampilkan 1 - 15 hasil dari 15
Perbaiki Hasil
  1. 1
    A Novel Autonomous Perceptron Model for Pattern Classification Applications

    A Novel Autonomous Perceptron Model for Pattern Classification Applications oleh Alaa Sagheer, Mohammed Zidan, Mohammed M. Abdelsamea

    Diterbitkan 2019-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

    XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification oleh Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

    Diterbitkan 2022-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks

    DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks oleh Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber

    Diterbitkan 2020-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Automated Classification of Malignant and Benign Breast Cancer Lesions Using Neural Networks on Digitized Mammograms

    Automated Classification of Malignant and Benign Breast Cancer Lesions Using Neural Networks on Digitized Mammograms oleh Mohammed M Abdelsamea, Marghny H Mohamed, Mohamed Bamatraf

    Diterbitkan 2019-06-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs

    Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs oleh Patryk Buczek, Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

    Diterbitkan 2023-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images

    3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images oleh Zakaria Senousy, Mohammed M. Abdelsamea, Mona Mostafa Mohamed, Mohamed Medhat Gaber

    Diterbitkan 2021-05-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence

    GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence oleh Abdullah Basaad, Shadi Basurra, Edlira Vakaj, Mohammed Aleskandarany, Mohammed M. Abdelsamea

    Diterbitkan 2024-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  8. 8
    A BERT-GNN Approach for Metastatic Breast Cancer Prediction Using Histopathology Reports

    A BERT-GNN Approach for Metastatic Breast Cancer Prediction Using Histopathology Reports oleh Abdullah Basaad , Shadi Basurra , Edlira Vakaj , Ahmed Karam Eldaly , Mohammed M. Abdelsamea 

    Diterbitkan 2024-06-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  9. 9
    A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bags

    A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bag... oleh Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Aliyuda Ali, Marios Kyriakou, Shams Fawki

    Diterbitkan 2023-02-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  10. 10
    From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks

    From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks oleh Usama Zidan, Hamdy A. El Desouky, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

    Diterbitkan 2023-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  11. 11
    The power of progressive active learning in floorplan images for energy assessment

    The power of progressive active learning in floorplan images for energy assessment oleh Dhoyazan Al-Turki, Marios Kyriakou, Shadi Basurra, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

    Diterbitkan 2023-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  12. 12
    Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining

    Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining oleh Ahmed Rakha, Hansi Hettiarachchi, Dina Rady, Mohamed Medhat Gaber, Emad Rakha, Mohammed M. Abdelsamea

    Diterbitkan 2021-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  13. 13
    Network intrusion detection using feature fusion with deep learning

    Network intrusion detection using feature fusion with deep learning oleh Abiodun Ayantayo, Amrit Kaur, Anit Kour, Xavier Schmoor, Fayyaz Shah, Ian Vickers, Paul Kearney, Mohammed M. Abdelsamea

    Diterbitkan 2023-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  14. 14
    <italic>DeepCon:</italic> Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification

    <italic>DeepCon:</italic> Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification oleh Suhaib Chughtai, Zakaria Senousy, Ahmed Mahany, Nouh Sabri Elmitwally, Khalid N. Ismail, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

    Diterbitkan 2024-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  15. 15
    Artificial intelligence in digital breast pathology: Techniques and applications

    Artificial intelligence in digital breast pathology: Techniques and applications oleh Asmaa Ibrahim, Paul Gamble, Ronnachai Jaroensri, Mohammed M. Abdelsamea, Craig H. Mermel, Po-Hsuan Cameron Chen, Emad A. Rakha

    Diterbitkan 2020-02-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: