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Sotoodeh M, Kohan A, Roshanzamir M, Jagatheesaperumal SKumar, Qazani MReza Chala, Joloudari JHassannata, Alizadehsani R, Pławiak P.  2024.  Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval. IEEE Access. 12

Moghadam MPoodineh, Moghadam ZAllah, Qazani MReza Chala, Pławiak P, Alizadehsani R.  2024.  Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review. IEEE Access. 12

Alam F, Pławiak P, Almaghthawi A, Qazani MReza Chala, Mohanty S, Alizadehsani andRoohallah.  2024.  NeuroHAR: A Neuroevolutionary Method for Human Activity Recognition (HAR) for Health Monitoring. IEEE Access. 12

Nakip M, Gelenbe E.  2024.  Online Self-Supervised Deep Learning for Intrusion Detection Systems. IEEE Transactions on Information Forensics and Security. 19 (6.97 MB)

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Lamaakal I, Ouahbi I, Makkaoui KEl, Maleh Y, Pławiak P, Alblehai F.  2024.  A TinyDL Model for Gesture-Based Air Handwriting Arabic Numbers and Simple Arabic Letters Recognition. IEEE Access. 12

Sakr AS, Plawiak P, Tadeusiewicz R, Pławiak J, Sakr M, Hammad M.  2023.  ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Information Sciences. 619

Patro KKumar, Allam JPrakash, Hammad M, Tadeusiewicz R, Plawiak P.  2023.  SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19. Biocybernetics and Biomedical Engineering. 43

Oztekin F, Katar O, Sadak F, Aydogan M, Yildirim TTalo, Plawiak P, Yildirim O, Talo M, Karabatak M.  2022.  Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model.. International Journal of Imaging Systems and Technology. 32

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

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Abdar M, Fahami MAmin, Chakrabarti S, Khosravi A, Plawiak P, U. Acharya R, Tadeusiewicz R, Nahavandi S.  2021.  BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Elsevier, Information Sciences. 577 (4.62 MB)

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