Paweł Pławiak

发表

Transfer learning techniques for medical image analysis: A review

U. Raghavendra, O. Faust, Pawel Plawiak, 2021, Biocybernetics and Biomedical Engineering.

Reordering and Partitioning of Distributed Quantum Circuits

S. E. Hosseini, Paweł Pławiak, D. Dadkhah, 2022, IEEE Access.

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

S. Nahavandi, U. Acharya, A. Khosravi, 2021, Knowl. Based Syst..

Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor

Allam Jaya Prakash, Kiran Kumar Patro, Pawel Plawiak, 2021, Sensors.

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

Saeid Nahavandi, Abbas Khosravi, Ryszard Tadeusiewicz, 2021, Inf. Sci..

AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions

S. Qaisar, Paweł Pławiak, Kathiravan Srinivasan, 2023, Cancers.

Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare

R. Tadeusiewicz, S. Qaisar, D. Dallet, 2022, Biocybernetics and Biomedical Engineering.

A Hybrid Approach of a Deep Learning Technique for Real–Time ECG Beat Detection

Kiran Kumar Patro, R. Tadeusiewicz, Paweł Pławiak, 2022, Int. J. Appl. Math. Comput. Sci..

Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification

Paweł Pławiak, S. Meshoul, P. Dziwiński, 2022, Sensors.

BAED: A secured biometric authentication system using ECG signal based on deep learning techniques

Kiran Kumar Patro, R. Tadeusiewicz, Paweł Pławiak, 2022, Biocybernetics and Biomedical Engineering.

A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method

Sengul Dogan, Turker Tuncer, Abdulhamit Subasi, 2022, Biomed. Signal Process. Control..

SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19

Jaya Prakash Allam, R. Tadeusiewicz, Paweł Pławiak, 2023, Biocybernetics and Biomedical Engineering.

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images

Ozal Yildirim, R. Tadeusiewicz, Usha R. Acharya, 2023, Inf. Sci..

ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection

Ahmed S. Sakr, R. Tadeusiewicz, Paweł Pławiak, 2022, Information Sciences.

A novel end-to-end deep learning approach for cancer detection based on microscopic medical images

A. El-latif, R. Tadeusiewicz, Paweł Pławiak, 2022, Biocybernetics and Biomedical Engineering.

The Knowledge and Perception about COVID-19 among Medical Imaging Professionals

Jaya Prakash Allam, Paweł Pławiak, Haytham Al Ewaidat, 2023, Health & Social Care in the Community.

A Multi-Attention Approach for Person Re-Identification Using Deep Learning

Paweł Pławiak, S. Meshoul, Khalid Amin, 2023, Sensors.

Graph convolutional network with triplet attention learning for person re-identification

R. Tadeusiewicz, Paweł Pławiak, Khalid Amin, 2022, Inf. Sci..

Multi-Story Building Model for Efficient IoT Network Design

Abdelhamied A. Ateya, A. El-latif, O. Alfarraj, 2023, Mathematics.

An Efficient Deep Learning Approach for Colon Cancer Detection

Abdelhamied A. Ateya, Ahmed S. Sakr, Paweł Pławiak, 2022, Applied Sciences.

Nutritional and Behavioral Countermeasures as Medication Approaches to Relieve Motion Sickness: A Comprehensive Review

Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, K. Lacy, 2023, Nutrients.

Connectivity matrix model of quantum circuits and its application to distributed quantum circuit optimization

Mahboobeh Houshmand, Monireh Houshmand, Zohreh Davarzani, 2021, Quantum Information Processing.

EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning

R. Tadeusiewicz, S. Qaisar, Paweł Pławiak, 2022, Biocybernetics and Biomedical Engineering.

Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication

Ahmed S. Sakr, R. Tadeusiewicz, Paweł Pławiak, 2021, Inf. Sci..

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions

Rania A. Elsayed, Abdelhamied A. Ateya, A. El-latif, 2023, Sensors.

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection

A. El-latif, Paweł Pławiak, Mohamed Hammad, 2023, Italian National Conference on Sensors.

Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning

R. Tadeusiewicz, Paweł Pławiak, A. A. Abd El-Latif, 2023, Biocybernetics and Biomedical Engineering.

ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks

Paweł Pławiak, N. Salankar, Sarika Khandelwal, 2023, PloS one.

Enhancing machine learning-based sentiment analysis through feature extraction techniques

Paweł Pławiak, Mohamed Hammad, Noura A. Semary, 2024, PloS one.

Improving sentiment classification using a RoBERTa-based hybrid model

Paweł Pławiak, Mohamed Hammad, Wesam Ahmed, 2023, Frontiers in human neuroscience.

A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching

Kiran Kumar Patro, Paweł Pławiak, A. J. Prakash, 2023, Inf..

Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models

Paweł Pławiak, Tariq Ahmad, Y. Zhong, 2023, Sensors.

A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT

A. El-latif, Paweł Pławiak, A. Daoui, 2023, Sensors.

Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis

Paweł Pławiak, R. Alizadehsani, M. Yousefi, 2024, ArXiv.

Transfer Learning in Cancer Genetics, Mutation Detection, Gene Expression Analysis, and Syndrome Recognition

Paweł Pławiak, R. Alizadehsani, Navid Sobhi, 2024, Cancers.

A new super resolution Faster R-CNN model based detection and classification of urine sediments

Ozal Yildirim, R. Tadeusiewicz, Paweł Pławiak, 2022, Biocybernetics and Biomedical Engineering.