Found 65 results
Filters: Autor is Pawel Plawiak  [Clear All Filters]
Melarkode N, Srinivasan K, Qaisar SMian, Plawiak P.  2023.  AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions. Cancers. 15
Patro KKumar, Allam JPrakash, Neelapu BChakravart, Tadeusiewicz R, U Acharya R, Hammad M, Yildirim O, Plawiak P.  2023.  Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Information Sciences. 640
Daoui A, Yamni M, Altameem T, Ahmad M, Hammad M, Plawiak P, Tadeusiewicz R, El-Latif AAAbd.  2023.  AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models. Sensors. 23
Kandukuri URani, Prakash AJaya, Patro KKumar, Neelapu BChakravart, Tadeusiewicz R, Plawiak P.  2023.  Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea. International Journal of Applied Mathematics and Computer Science. 33
Prakash AJaya, Patro KKumar, Samantray S, Plawiak P, Hammad M.  2023.  A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching. Information. 14
Khandelwal S, Salankar N, Qaisar SMian, Upadhyay J, Plawiak P.  2023.  ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks. PLOS ONE.
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
Hammad M, Plawiak P, ElAffendi M, El-Latif AAAbd, Latif AAAbdel.  2023.  Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection. Sensors. 23
Rahim A, Zhong Y, Ahmad T, Ahmad S, Plawiak P, Hammad M.  2023.  Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models. Sensors. 23
Maher A, Qaisar SMian, Salankar N., Jiang F, Tadeusiewicz R, Plawiak P, EL-Latif AAAbd, Hammad M.  2023.  Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning. Biocybernetics and Biomedical Engineering. 43
Semary NA, Ahmed W, Amin K, Plawiak P, Hammad M.  2023.  Improving sentiment classification using a RoBERTa-based hybrid model. Frontiers in Human Neuroscience. 17
Osama M, Ateya AA, Sayed MS, Hammad M, Plawiak P, El-Latif AAAbd, Elsayed RA.  2023.  Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions. Sensors. 23
Subramaniam EVeerappa D, Srinivasan K, Qaisar SMian, Plawiak P.  2023.  Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems. Sensors. 23
Saber S, Meshoul S, Amin K, Plawiak P, Hammad M.  2023.  A Multi-Attention Approach for Person Re-Identification Using Deep Learning. Sensors. 23
Bushelenkov S, Paramonov A, Muthanna A, El-Latif AAAbd, Koucheryavy A, Alfarraj O, Plawiak P, Ateya AA.  2023.  Multi-Story Building Model for Efficient IoT Network Design. Mathematics. 11
Hiremath S, Shetty E, Prakash AJaya, Sahoo SPrakash, Patro KKumar, Rajesh KNVPS, Plawiak P.  2023.  A New Approach to Data Analysis Using Machine Learning for Cybersecurity. Big Data and Cognitive Computing. 7
Avci D, Sert E, Dogantekin E, Yildirim O, Tadeusiewicz R, Plawiak P.  2023.  A new super resolution Faster R-CNN model based detection and classification of urine sediments. Biocybernetics and Biomedical Engineering. 43
Yamni M, Daoui A, Plawiak P, Mao H, Alfarraj O, El-Latif AAAbd.  2023.  A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT. Sensors. 23
Rahimzadeh G, Tay A, Travica N, Lacy K, Mohamed S, Nahavandi D, Plawiak P, Qazani MChalak, Asadi H.  2023.  Nutritional and Behavioral Countermeasures as Medication Approaches to Relieve Motion Sickness: A Comprehensive Review. Nutrients. 15
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