Pawel Plawiak

Orcid: 0000-0002-4317-2801

According to our database1, Pawel Plawiak authored at least 63 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images.
Inf. Sci., February, 2024

2023
An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques.
BMC Bioinform., December, 2023

AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models.
Sensors, November, 2023

A Novel 3D Reversible Data Hiding Scheme Based on Integer-Reversible Krawtchouk Transform for IoMT.
Sensors, September, 2023

Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems.
Sensors, September, 2023

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions.
Sensors, September, 2023

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images.
Inf. Sci., September, 2023

Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models.
Sensors, August, 2023

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection.
Sensors, August, 2023

A Multi-Attention Approach for Person Re-Identification Using Deep Learning.
Sensors, April, 2023

A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching.
Inf., February, 2023

ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection.
Inf. Sci., 2023

RECOMMED: A Comprehensive Pharmaceutical Recommendation System.
CoRR, 2023

A New Approach to Data Analysis Using Machine Learning for Cybersecurity.
Big Data Cogn. Comput., 2023

Artificial Intelligence-based Motion Sickness Detection: A Survey.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

2022
Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network.
Sensors, 2022

Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification.
Sensors, 2022

Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model.
Sensors, 2022

Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication.
Inf. Sci., 2022

Graph convolutional network with triplet attention learning for person re-identification.
Inf. Sci., 2022

Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model.
Int. J. Imaging Syst. Technol., 2022

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.
Expert Syst. J. Knowl. Eng., 2022

Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks.
CoRR, 2022

A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method.
Biomed. Signal Process. Control., 2022

A novel model to optimize multiple imputation algorithm for missing data using evolution methods.
Biomed. Signal Process. Control., 2022

A Hybrid Approach of a Deep Learning Technique for Real-Time ECG Beat Detection.
Int. J. Appl. Math. Comput. Sci., 2022

Reordering and Partitioning of Distributed Quantum Circuits.
IEEE Access, 2022

2021
Development of accurate classification of heavenly bodies using novel machine learning techniques.
Soft Comput., 2021

Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network.
Sensors, 2021

Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor.
Sensors, 2021

Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios.
Sensors, 2021

Connectivity matrix model of quantum circuits and its application to distributed quantum circuit optimization.
Quantum Inf. Process., 2021

Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals.
Multim. Tools Appl., 2021

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs.
Knowl. Based Syst., 2021

Automated detection of shockable ECG signals: A review.
Inf. Sci., 2021

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification.
Inf. Sci., 2021

Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease.
Expert Syst. J. Knowl. Eng., 2021

ResNet-Attention model for human authentication using ECG signals.
Expert Syst. J. Knowl. Eng., 2021

Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma.
Comput. Biol. Medicine, 2021

Ensemble learning techniques for transmission quality classification in a Pay&Require multi-layer network.
Int. J. Appl. Math. Comput. Sci., 2021

2020
Ensemble residual network-based gender and activity recognition method with signals.
J. Supercomput., 2020

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach.
Pattern Recognit. Lett., 2020

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals.
Neural Comput. Appl., 2020

A novel facial image recognition method based on perceptual hash using quintet triple binary pattern.
Multim. Tools Appl., 2020

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring.
Inf. Sci., 2020

Machine learning techniques for transmission parameters classification in multi-agent managed network.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
ECG signals (744 fragments).
Dataset, November, 2019

Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain.
Symmetry, 2019

Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method.
Sensors, 2019

Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals.
Knowl. Based Syst., 2019

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.
J. Medical Syst., 2019

A novel machine learning approach for early detection of hepatocellular carcinoma patients.
Cogn. Syst. Res., 2019

A new machine learning technique for an accurate diagnosis of coronary artery disease.
Comput. Methods Programs Biomed., 2019

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring.
Appl. Soft Comput., 2019

Improved Reference Image Encryption Methods Based on 2K Correction in the Integer Wavelet Domain.
Int. J. Appl. Math. Comput. Sci., 2019

2018
Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals.
Swarm Evol. Comput., 2018

Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS.
Sensors, 2018

Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system.
Expert Syst. Appl., 2018

Arrhythmia detection using deep convolutional neural network with long duration ECG signals.
Comput. Biol. Medicine, 2018

2017
Person recognition based on touch screen gestures using computational intelligence methods.
Inf. Sci., 2017

2016
Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms.
IEEE Trans. Ind. Informatics, 2016

2014
An estimation of the state of consumption of a positive displacement pump based on dynamic pressure or vibrations using neural networks.
Neurocomputing, 2014

Approximation of phenol concentration using novel hybrid computational intelligence methods.
Int. J. Appl. Math. Comput. Sci., 2014


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