Prakash AJaya, Patro KKumar, Hammad M, Tadeusiewicz R, Pławiak P.  2022.  BAED: A secured biometric authentication system using ECG signal based on deep learning techniques.. Biocybernetics and Biomedical Engineering. 42

Sakr AS, Pławiak P, Tadeusiewicz R, Hammad M.  2022.  Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication.. Information Sciences. 585

Pławiak P, Salankar N, Qaisar SMian, Tadeusiewicz R, Hammad M.  2022.  EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning.. Biocybernetics and Biomedical Engineering. 42

Saber S, Amin K, Pławiak P, Tadeusiewicz R, Hammad M.  2022.  Graph Convolutional Network with Triplet Attention learning for Person Re-Identification.. Information Sciences.

Hammad M, Bakrey M, Bakhiet A, Tadeusiewicz R, EL-Latif AAAbd, Pławiak P.  2022.  A novel end-to-end deep learning approach for cancer detection based on microscopic medical images.. Biocybernetics and Biomedical Engineering. 42

Mohammed YSalaheldin, Abdelkader H, Pławiak P, Hammad M.  2022.  A novel model to optimize multiple imputation algorithm for missing data using evolution methods.. Biomedical Signal Processing and Control. 76

Hammad M, Kandala RNVPS, Abdelatey A, Abdar M, Zomorodi‐Moghadam M, San Tan R, U. Acharya R, Pławiak J, Tadeusiewicz R, Makarenkov V et al..  2021.  Automated detection of shockable ECG signals: A review. Elsevier, Information Sciences.  (3.76 MB)

Wierzbiński M, Pławiak P, Hammad M, U Acharya R.  2021.  Development of accurate classification of heavenly bodies using novel machine learning techniques. Springer, Soft Computing. 25(2021)

Hammad M, Pławiak P, Wang K, Acharya URajendra.  2021.  ResNet‐Attention model for human authentication using ECG signals. Wiley, Expert Systems. 38(6):e12547. (2.75 MB)

Książek W, Hammad M, Pławiak P, U. Acharya R, Tadeusiewicz R.  2020.  Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection. Biocybernetics and Biomedical Engineering. 40(4):1512-1524. (1.1 MB)