Paweł Pławiak , PhD Email: Orcid ID: 0000-0002-4317-2801Strona WWW: Personal home pagePosition: Institute ProfessorResearch groups Machine Learning Group Horizontal TabsPublications Biblio RSS 2023 1. Khandelwal, S., N. Salankar, S. Mian Qaisar, J. Upadhyay, and P. Plawiak, "ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks", PLOS ONE, 2023. 2. Sakr, A. S., P. Plawiak, R. Tadeusiewicz, J. Pławiak, M. Sakr, and M. Hammad, "ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection", Information Sciences, vol. 619, 2023. 3. Maher, A., S. Mian Qaisar, N. Salankar, F. Jiang, R. Tadeusiewicz, P. Plawiak, A. A. Abd EL-Latif, and M. Hammad, "Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning", Biocybernetics and Biomedical Engineering, vol. 43, 2023. 4. Patro, K. Kumar, J. Prakash Allam, M. Hammad, R. Tadeusiewicz, and P. Plawiak, "SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19", Biocybernetics and Biomedical Engineering, vol. 43, 2023. 5. Avci, D., E. Sert, E. Dogantekin, O. Yildirim, R. Tadeusiewicz, and P. Plawiak, "A new super resolution Faster R-CNN model based detection and classification of urine sediments", Biocybernetics and Biomedical Engineering, vol. 43, 2023. 6. Daoui, A., M. Yamni, T. Altameem, M. Ahmad, M. Hammad, P. Plawiak, R. Tadeusiewicz, and A. A. Abd El-Latif, "AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models", Sensors, vol. 23, 2023. 7. Patro, K. Kumar, J. Prakash Allam, B. Chakravart Neelapu, R. Tadeusiewicz, R. U Acharya, M. Hammad, O. Yildirim, and P. Plawiak, "Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images", Information Sciences, vol. 640, 2023. 8. Rahimzadeh, G., A. Tay, N. Travica, K. Lacy, S. Mohamed, D. Nahavandi, P. Plawiak, M. Chalak Qazani, and H. Asadi, "Nutritional and Behavioral Countermeasures as Medication Approaches to Relieve Motion Sickness: A Comprehensive Review", Nutrients, vol. 15, 2023. 9. Rahim, A., Y. Zhong, T. Ahmad, S. Ahmad, P. Plawiak, and M. Hammad, "Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models", Sensors, vol. 23, 2023. 10. Saber, S., S. Meshoul, K. Amin, P. Plawiak, and M. Hammad, "A Multi-Attention Approach for Person Re-Identification Using Deep Learning", Sensors, vol. 23, 2023. 11. Hammad, M., P. Plawiak, M. ElAffendi, A. A. Abd El-Latif, and A. A. Abdel Latif, "Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection", Sensors, vol. 23, 2023. 12. Subramaniam, E. Veerappa D., K. Srinivasan, S. Mian Qaisar, and P. Plawiak, "Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems", Sensors, vol. 23, 2023. 13. Osama, M., A. A. Ateya, M. S. Sayed, M. Hammad, P. Plawiak, A. A. Abd El-Latif, and R. A. Elsayed, "Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions", Sensors, vol. 23, 2023. 14. Yamni, M., A. Daoui, P. Plawiak, H. Mao, O. Alfarraj, and A. A. Abd El-Latif, "A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT", Sensors, vol. 23, 2023. 15. Prakash, A. Jaya, K. Kumar Patro, S. Samantray, P. Plawiak, and M. Hammad, "A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching", Information, vol. 14, 2023. 16. Melarkode, N., K. Srinivasan, S. Mian Qaisar, and P. Plawiak, "AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions", Cancers, vol. 15, 2023. 17. Hiremath, S., E. Shetty, A. Jaya Prakash, S. Prakash Sahoo, K. Kumar Patro, K. N. V. P. S. Rajesh, and P. Plawiak, "A New Approach to Data Analysis Using Machine Learning for Cybersecurity", Big Data and Cognitive Computing, vol. 7, 2023. 18. Kandukuri, U. Rani, A. Jaya Prakash, K. Kumar Patro, B. Chakravart Neelapu, R. Tadeusiewicz, and P. Plawiak, "Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea", International Journal of Applied Mathematics and Computer Science, vol. 33, 2023. 19. Semary, N. A., W. Ahmed, K. Amin, P. Plawiak, and M. Hammad, "Improving sentiment classification using a RoBERTa-based hybrid model", Frontiers in Human Neuroscience, vol. 17, 2023. 20. Bushelenkov, S., A. Paramonov, A. Muthanna, A. A. Abd El-Latif, A. Koucheryavy, O. Alfarraj, P. Plawiak, and A. A. Ateya, "Multi-Story Building Model for Efficient IoT Network Design", Mathematics, vol. 11, 2023. 2022 21. Dakshayani, V., G. Rao Locharla, P. Plawiak, V. Datti, and C. Karri, "Design of a Gabor Filter-Based Image Denoising Hardware Model", Electronics, vol. 11, 2022. 22. Mohammed, Y. Salaheldin, H. Abdelkader, P. Plawiak, and M. Hammad, "A novel model to optimize multiple imputation algorithm for missing data using evolution methods.", Biomedical Signal Processing and Control, vol. 76, 2022. 23. Książek, W., F. Turza, and P. Plawiak, "NCA-GA-SVM: A new two-level feature selection method based on neighborhood component analysis and genetic algorithm in hepatocellular carcinoma fatality prognosis", International Journal for Numerical Methods in Biomedical Engineering, vol. 38, 2022. 24. Qaisar, S. Mian, S. I. Khan, D. Dallet, R. Tadeusiewicz, and P. Plawiak, "Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare", Biocybernetics and Biomedical Engineering., vol. 42, 2022. 25. Hammad, M., M. Bakrey, A. Bakhiet, R. Tadeusiewicz, A. A. Abd EL-Latif, and P. Plawiak, "A novel end-to-end deep learning approach for cancer detection based on microscopic medical images.", Biocybernetics and Biomedical Engineering, vol. 42, 2022. Pages123następna ›ostatnia »
