Pawel Plawiak

2024

Ahmad A.; Ahmad T.; Masood S.; Siddiqui M.; El-Rahiem B.; Plawiak P.; Alblehai F.; A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method; IEEE Access; 2024
Kavya L.; Karuna Y.; Saritha S.; Prakash A.; Patro K.; Sahoo S.; Tadeusiewicz R.; Plawiak P.; A Review of Shockable Arrhythmia Detection of ECG Signals Using Machine and Deep Learning Techniques; International Journal of Applied Mathematics and Computer Science; 2024
Zarif S.; Abdulkader H.; Plawiak P.; Alharbi A.; Using hybrid pre-trained models for breast cancer detection; Public Library of Science; 2024
Semary A.; Semary N.; Ahmed W.; Amin K.; Plawiak P.; Enhancing machine learning-based sentiment analysis through feature extraction techniques; Public Library of Science; 2024

2023

Bushelenkov S.; Paramonov A.; Muthanna A.; El-Latif A.; Koucheryavy A.; Alfarraj O.; Plawiak P.; Ateya A.; Multi-Story Building Model for Efficient IoT Network Design; Mathematics; 2023
Rahimzadeh G.; Tay A.; Travica N.; Lacy K.; Mohamed S.; Nahavandi D.; Plawiak P.; Qazani M.; Asadi H.; Nutritional and Behavioral Countermeasures as Medication Approaches to Relieve Motion Sickness: A Comprehensive Review; Nutrients; 2023
Patro K.; Allam J.; Neelapu B.; Tadeusiewicz R.; Acharya R.; Hammad M.; Yildirim O.; Plawiak P.; Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images; Information Sciences; 2023
Daoui A.; Yamni M.; Altameem T.; Ahmad M.; Hammad M.; Plawiak P.; Tadeusiewicz R.; El-Latif A.; AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models; Sensors; 2023
Sakr A.; Plawiak P.; Tadeusiewicz R.; Pławiak J.; Sakr M.; Hammad M.; ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection; Information Sciences; 2023
Avci D.; Sert E.; Dogantekin E.; Yildirim O.; Tadeusiewicz R.; Plawiak P.; A new super resolution Faster R-CNN model based detection and classification of urine sediments; Biocybernetics and Biomedical Engineering; 2023
Patro K.; Allam J.; Hammad M.; Tadeusiewicz R.; Plawiak P.; SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19; Biocybernetics and Biomedical Engineering; 2023
Maher A.; Qaisar S.; Salankar N.; Jiang F.; Tadeusiewicz R.; Plawiak P.; EL-Latif A.; Hammad M.; Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning; Biocybernetics and Biomedical Engineering; 2023
Saber S.; Meshoul S.; Amin K.; Plawiak P.; Hammad M.; A Multi-Attention Approach for Person Re-Identification Using Deep Learning; Sensors; 2023
Rahim A.; Zhong Y.; Ahmad T.; Ahmad S.; Plawiak P.; Hammad M.; Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models; Sensors; 2023
Hammad M.; Plawiak P.; ElAffendi M.; El-Latif A.; Latif A.; Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection; Sensors; 2023
Subramaniam E.; Srinivasan K.; Qaisar S.; Plawiak P.; Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems; Sensors; 2023
Osama M.; Ateya A.; Sayed M.; Hammad M.; Plawiak P.; El-Latif A.; Elsayed R.; Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions; Sensors; 2023
Yamni M.; Daoui A.; Plawiak P.; Mao H.; Alfarraj O.; El-Latif A.; A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT; Sensors; 2023
Prakash A.; Patro K.; Samantray S.; Plawiak P.; Hammad M.; A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching; Information; 2023
Melarkode N.; Srinivasan K.; Qaisar S.; Plawiak P.; AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions; Cancers; 2023
Hiremath S.; Shetty E.; Prakash A.; Sahoo S.; Patro K.; Rajesh K.; Plawiak P.; A New Approach to Data Analysis Using Machine Learning for Cybersecurity; Big Data and Cognitive Computing; 2023
Dogra A.; Ewaidat H.; Samee N.; Allam J.; Patro K.; Plawiak P.; Mahmoud N.; Hammad M.; The Knowledge and Perception about COVID-19 among Medical Imaging Professionals; Health & Social Care in the Community; 2023
Kandukuri U.; Prakash A.; Patro K.; Neelapu B.; Tadeusiewicz R.; Plawiak P.; Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea; International Journal of Applied Mathematics and Computer Science; 2023
Semary N.; Ahmed W.; Amin K.; Plawiak P.; Hammad M.; Improving sentiment classification using a RoBERTa-based hybrid model; Frontiers in Human Neuroscience; 2023
Khandelwal S.; Salankar N.; Qaisar S.; Upadhyay J.; Plawiak P.; ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks; PLOS ONE; 2023