Dawid Polap

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 117

Top Venues

Publications

Dawid Polap, Antoni Jaszcz
Sonar Digital Twin Layer via Multiattention Networks With Feature Transfer. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Katarzyna Prokop, Dawid Polap
Heuristic-based image stitching algorithm with automation of parameters for smart solutions. Expert Syst. Appl. 241 (2024)
Katarzyna Prokop, Dawid Polap
Image segmentation enhanced by heuristic assistance for retinal vessels case. CEC (2024)
Antoni Jaszcz, Dawid Polap
Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks. ICAART (3) (2024)
Dawid Polap, Antoni Jaszcz
Decentralized medical image classification system using dual-input CNN enhanced by spatial attention and heuristic support. Expert Syst. Appl. 253 (2024)
Dawid Polap, Antoni Jaszcz
Heuristic Feedback for Generator Support in Generative Adversarial Network. ICAART (3) (2024)
Dawid Polap, Gautam Srivastava, Antoni Jaszcz
Energy Consumption Prediction Model for Smart Homes via Decentralized Federated Learning With LSTM. IEEE Trans. Consumer Electron. 70 (1) (2024)
Wei Wei, Qiao Ke, Dawid Polap, Marcin Wozniak
Spline Interpolation and Deep Neural Networks as Feature Extractors for Signature Verification Purposes. IEEE Internet Things J. 10 (3) (2023)
Marta Wlodarczyk-Sielicka, Dawid Polap, Katarzyna Prokop, Karolina Polap, Andrzej Stateczny
Spatial Visualization Based on Geodata Fusion Using an Autonomous Unmanned Vessel. Remote. Sens. 15 (7) (2023)
Dawid Polap, Antoni Jaszcz, Natalia Wawrzyniak, Grzegorz Zaniewicz
Bilinear Pooling With Poisoning Detection Module for Automatic Side Scan Sonar Data Analysis. IEEE Access 11 (2023)
Katarzyna Prokop, Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin
Blockchain-based federated learning with checksums to increase security in Internet of Things solutions. J. Ambient Intell. Humaniz. Comput. 14 (5) (2023)
Dawid Polap, Antoni Jaszcz, Katarzyna Prokop, Gautam Srivastava
Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System. BigData (2023)
M. K. Nallakaruppan, Gautam Srivastava, Thippa Reddy Gadekallu, M. Praveen Kumar Reddy, Sivarama Krishnan, Dawid Polap
Child Tracking and Prediction of Violence on Children In Social Media Using Natural Language Processing and Machine Learning. ICAISC (1) (2023)
Dawid Polap, Gautam Srivastava
Fuzzy Analysis for Consensus in Federated Learning with Simulated Heuristic Attacks. FUZZ (2023)
Dawid Polap, Katarzyna Prokop, Gautam Srivastava
Federated Heuristic Optimization Based on Fuzzy Clustering and Red Fox Optimization Algorithm. FUZZ (2023)
Dawid Polap, Katarzyna Prokop, Gautam Srivastava, Jerry Chun-Wei Lin
Decentralized Federated Learning Loop with Constrained Trust Mechanism. ICAISC (1) (2023)
Katarzyna Prokop, Dawid Polap, Gautam Srivastava
AGV Quality of Service Throughput Prediction via Neural Networks. BigData (2023)
Feng Xue, Dawid Polap
Detail Feature Inpainting of Art Images in Online Educational Videos based on Double Discrimination Network. Mob. Networks Appl. 28 (3) (2023)
Dawid Polap
Hybrid image analysis model for hashtag recommendation through the use of deep learning methods. Expert Syst. Appl. 229 (Part B) (2023)
Yue Hou, Xin Zheng, Chengyan Han, Wei Wei, Rafal Scherer, Dawid Polap
Deep Learning Methods in Short-Term Traffic Prediction: A Survey. Inf. Technol. Control. 51 (1) (2022)
Antoni Jaszcz, Dawid Polap
AIMM: Artificial Intelligence Merged Methods for flood DDoS attacks detection. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue) (2022)
Antoni Jaszcz, Katarzyna Prokop, Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin
Human-AI Collaboration to Increase the Perception of VR. ICAISC (1) (2022)
Dawid Polap, Marcin Wozniak, Waldemar Holubowski, Robertas Damasevicius
A heuristic approach to the hyperparameters in training spiking neural networks using spike-timing-dependent plasticity. Neural Comput. Appl. 34 (16) (2022)
Katarzyna Prokop, Dawid Polap, Gautam Srivastava
Neuro-heuristic Pallet Detection for Automated Guided Vehicle Navigation. Big Data (2022)
Dawid Polap, Marcin Wozniak
A hybridization of distributed policy and heuristic augmentation for improving federated learning approach. Neural Networks 146 (2022)
Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius
Ensemble machine learning approaches for webshell detection in Internet of things environments. Trans. Emerg. Telecommun. Technol. 33 (6) (2022)
Xiaolin Liu, Congjin Xie, Dawid Polap
An Evaluation method for teaching effect of information technology integrated engineering management course based on data clustering. EAI Endorsed Trans. Scalable Inf. Syst. 9 (5) (2022)
Chong-gao Chen, Dawid Polap
Design of action correction assistant system in physical education teaching and training based on .NET platform. Mob. Networks Appl. 27 (3) (2022)
Dawid Polap, Natalia Wawrzyniak, Marta Wlodarczyk-Sielicka
Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Dawid Polap
Automatic fuzzy parameter tuning for neural network models. FUZZ-IEEE (2022)
Marcin Wozniak, Michal Wieczorek, Jakub Silka, Dawid Polap
Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network. IEEE Trans. Ind. Informatics 17 (3) (2021)
Dawid Polap, Marcin Wozniak
Meta-heuristic as manager in federated learning approaches for image processing purposes. Appl. Soft Comput. 113 (Part) (2021)
Jimmy Ming-Tai Wu, Gautam Srivastava, Jerry Chun-Wei Lin, Youcef Djenouri, Min Wei, Dawid Polap
Mining of High-Utility Patterns in Big IoT Databases. ICAISC (2) (2021)
Dawid Polap, Marcin Wozniak
Image features extractor based on hybridization of fuzzy controller and meta-heuristic. FUZZ-IEEE (2021)
Dawid Polap, Marcin Wozniak, Jacek Mandziuk
Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks. CEC (2021)
Mariusz Pleszczynski, Adam Zielonka, Dawid Polap, Marcin Wozniak, Jacek Mandziuk
Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data. CEC (2021)
Dawid Polap
Fuzzy Consensus With Federated Learning Method in Medical Systems. IEEE Access 9 (2021)
Dawid Polap, Gautam Srivastava
Neural image reconstruction using a heuristic validation mechanism. Neural Comput. Appl. 33 (17) (2021)
Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin, Marcin Wozniak
Federated Learning Model with Augmentation and Samples Exchange Mechanism. ICAISC (1) (2021)
Dawid Polap, Marcin Wozniak
Red fox optimization algorithm. Expert Syst. Appl. 166 (2021)
Jimmy Ming-Tai Wu, Zhongcui Li, Youcef Djenouri, Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin
A Graphic CNN-LSTM Model for Stock Price Predication. ICAISC (1) (2021)
Dawid Polap, Gautam Srivastava, Keping Yu
Agent architecture of an intelligent medical system based on federated learning and blockchain technology. J. Inf. Secur. Appl. 58 (2021)
Alicja Winnicka, Karolina Kesik, Dawid Polap, Marcin Wozniak
SURF Algorithm with Convolutional Neural Network as Face Recognition Technique. ICAISC (2) (2020)
Marta Wlodarczyk-Sielicka, Dawid Polap
Interpolation merge as augmentation technique in the problem of ship classification. FedCSIS (2020)
Dawid Polap, Marcin Wozniak, Marcin Korytkowski, Rafal Scherer
Encoder-Decoder Based CNN Structure for Microscopic Image Identification. ICONIP (1) (2020)
Dawid Polap
An adaptive genetic algorithm as a supporting mechanism for microscopy image analysis in a cascade of convolution neural networks. Appl. Soft Comput. 97 (Part B) (2020)
Marcin Korytkowski, Rafal Scherer, Dominik Szajerman, Dawid Polap, Marcin Wozniak
Efficient Visual Classification by Fuzzy Rules. FUZZ-IEEE (2020)
Dawid Polap, Marta Wlodarczyk-Sielicka
Classification of Non-Conventional Ships Using a Neural Bag-Of-Words Mechanism. Sensors 20 (6) (2020)
Zongwen Bai, Ying Li, Meili Zhou, Di Li, Dong Wang, Dawid Polap, Marcin Wozniak
Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering. IJCNN (2020)
Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, Dawid Polap, Marcin Wozniak
Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning. IEEE Trans. Fuzzy Syst. 28 (6) (2020)
Marcin Wozniak, Dawid Polap
Intelligent Home Systems for Ubiquitous User Support by Using Neural Networks and Rule-Based Approach. IEEE Trans. Ind. Informatics 16 (4) (2020)
Marcin Wozniak, Dawid Polap
Soft trees with neural components as image-processing technique for archeological excavations. Pers. Ubiquitous Comput. 24 (3) (2020)
Dawid Polap, Gautam Srivastava, Marcin Wozniak
Multi-agent Architecture for Internet of Medical Things. ICAISC (2) (2020)
Dawid Polap, Marcin Wozniak
Collaborative learning with taboos for machine learning methods in big data problems. SSCI (2020)
Olusola Oluwakemi Abayomi-Alli, Tatjana Sidekerskiene, Robertas Damasevicius, Jakub Silka, Dawid Polap
Empirical Mode Decomposition Based Data Augmentation for Time Series Prediction Using NARX Network. ICAISC (1) (2020)
Robertas Damasevicius, Rytis Maskeliunas, Gintautas Narvydas, Ruta Narbutaite, Dawid Polap, Marcin Wozniak
Intelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory. J. Ambient Intell. Humaniz. Comput. 11 (12) (2020)
Dawid Polap, Gautam Srivastava, Alireza Jolfaei, Reza M. Parizi
Blockchain Technology and Neural Networks for the Internet of Medical Things. INFOCOM Workshops (2020)
Wei Wei, Bin Zhou, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak
Iterative Design and Implementation of Rapid Gradient Descent Method. ICAISC (1) (2019)
Dawid Polap, Marcin Wozniak
Acceleration of data handling in neural networks by using cascade classification model. SSCI (2019)
Dawid Polap, Marcin Wozniak
Bacteria shape classification by the use of region covariance and Convolutional Neural Network. IJCNN (2019)
Qiao Ke, Jiangshe Zhang, Wei Wei, Dawid Polap, Marcin Wozniak, Leon Kosmider, Robertas Damasevicius
A neuro-heuristic approach for recognition of lung diseases from X-ray images. Expert Syst. Appl. 126 (2019)
Andrius Lauraitis, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak
A Smartphone Application for Automated Decision Support in Cognitive Task Based Evaluation of Central Nervous System Motor Disorders. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Alicja Winnicka, Karolina Kesik, Dawid Polap, Marcin Wozniak, Zbigniew Marszalek
A Multi-Agent Gamification System for Managing Smart Homes. Sensors 19 (5) (2019)
Dawid Polap, Marcin Wozniak, Robertas Damasevicius, Rytis Maskeliunas
Bio-inspired voice evaluation mechanism. Appl. Soft Comput. 80 (2019)
Bin Zhou, Xuemei Duan, Dongjun Ye, Wei Wei, Marcin Wozniak, Dawid Polap, Robertas Damasevicius
Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring. Sensors 19 (22) (2019)
Marta Wlodarczyk-Sielicka, Dawid Polap
Automatic Classification Using Machine Learning for Non-Conventional Vessels on Inland Waters. Sensors 19 (14) (2019)
Wei Wei, Bin Zhou, Dawid Polap, Marcin Wozniak
A regional adaptive variational PDE model for computed tomography image reconstruction. Pattern Recognit. 92 (2019)
Mindaugas Vasiljevas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak
Gamification of Eye Exercises for Evaluating Eye Fatigue. ICAISC (2) (2019)
Dawid Polap
Analysis of Skin Marks Through the Use of Intelligent Things. IEEE Access 7 (2019)
Alicja Winnicka, Karolina Kesik, Dawid Polap
Signature analysis system using a convolutional neural network. FedCSIS (2019)
Marcin Wozniak, Dawid Polap, Robertas Damasevicius, Wei Wei
Design of Computational Intelligence-based Language Interface for Human-Machine Secure Interaction. J. Univers. Comput. Sci. 24 (4) (2018)
Dawid Polap, Alicja Winnicka, Kalina Serwata, Karolina Kesik, Marcin Wozniak
An Intelligent System for Monitoring Skin Diseases. Sensors 18 (8) (2018)
Dawid Polap
Human-machine interaction in intelligent technologies using the augmented reality. Inf. Technol. Control. 47 (4) (2018)
Dawid Polap, Marcin Wozniak, Robertas Damasevicius, Wei Wei
Chest radiographs segmentation by the use of nature-inspired algorithm for lung disease detection. SSCI (2018)
Zbigniew Marszalek, Marcin Wozniak, Dawid Polap
Fully Flexible Parallel Merge Sort for Multicore Architectures. Complex. 2018 (2018)
Kamil Ksiazek, Zbigniew Marszalek, Giacomo Capizzi, Christian Napoli, Dawid Polap, Marcin Wozniak
The impact of parallel programming on faster image filtering. FedCSIS (2018)
Edvinas Danevicius, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak
A Soft Body Physics Simulator with Computational Offloading to the Cloud. Inf. 9 (12) (2018)
Grazia Lo Sciuto, Giacomo Capizzi, Christian Napoli, Rafi Shikler, Dawid Polap, Marcin Wozniak
Exploiting OSC Models by Using Neural Networks with an Innovative Pruning Algorithm. ICAISC (2) (2018)
Adomas Ivanovas, Armantas Ostreika, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak
Block Matching Based Obstacle Avoidance for Unmanned Aerial Vehicle. ICAISC (1) (2018)
Dawid Polap
Voice control in mixed reality. FedCSIS (2018)
Marcin Wozniak, Dawid Polap
Bio-inspired methods modeled for respiratory disease detection from medical images. Swarm Evol. Comput. 41 (2018)
Marcin Wozniak, Dawid Polap
Object detection and recognition via clustered features. Neurocomputing 320 (2018)
Wei Wei, Dawid Polap, Xiaohua Li, Marcin Wozniak, Junzhe Liu
Study on Remote Sensing Image Vegetation Classification Method Based on Decision Tree Classifier. SSCI (2018)
Dawid Polap, Marcin Wozniak, Wei Wei, Robertas Damasevicius
Multi-threaded learning control mechanism for neural networks. Future Gener. Comput. Syst. 87 (2018)
Marcin Wozniak, Kamil Ksiazek, Jakub Marciniec, Dawid Polap
Heat production optimization using bio-inspired algorithms. Eng. Appl. Artif. Intell. 76 (2018)
Dawid Polap, Marcin Wozniak
The Impact of the Cost Function on the Operation of the Intelligent Agent in 2D Games. ICIST (2018)
Dawid Polap
Model of Identity Verification Support System Based on Voice and Image Samples. J. Univers. Comput. Sci. 24 (4) (2018)
Marcin Wozniak, Dawid Polap
Adaptive neuro-heuristic hybrid model for fruit peel defects detection. Neural Networks 98 (2018)
Dawid Polap, Karolina Kesik, Marcin Wozniak
Accident Prevention System During Immersion in Virtual Reality. MISSI (2018)
Marcin Wozniak, Dawid Polap, Leon Kosmider, Tomasz Clapa
Automated fluorescence microscopy image analysis of Pseudomonas aeruginosa bacteria in alive and dead stadium. Eng. Appl. Artif. Intell. 67 (2018)
Marcin Wozniak, Dawid Polap, Giacomo Capizzi, Grazia Lo Sciuto, Leon Kosmider, Katarzyna Frankiewicz
Small lung nodules detection based on local variance analysis and probabilistic neural network. Comput. Methods Programs Biomed. 161 (2018)
Dawid Polap, Marcin Wozniak
Lung segmentation on x-ray images with neural validation. SSCI (2017)
Dawid Polap, Marcin Wozniak
Image approach to voice recognition. SSCI (2017)
Taurius Petraitis, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak, Marcin Gabryel
Environment Recognition based on Images using Bag-of-Words. IJCCI (2017)
Kamil Ksiazek, Dawid Polap, Marcin Wozniak, Robertas Damasevicius
Radiation heat transfer optimization by the use of modified ant lion optimizer. SSCI (2017)
Taurius Petraitis, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak, Marcin Gabryel
Environment Scene Classification Based on Images Using Bag-of-Words. IJCCI (Selected Papers) (2017)
Shiran Nabha Barnea, Grazia Lo Sciuto, Nathaniel Hai, Rafi Shikler, Giacomo Capizzi, Marcin Wozniak, Dawid Polap
Photo-Electro Characterization and Modeling of Organic Light-Emitting Diodes by Using a Radial Basis Neural Network. ICAISC (2) (2017)
Grazia Lo Sciuto, Giacomo Capizzi, Dor Gotleyb, Sivan Linde, Rafi Shikler, Marcin Wozniak, Dawid Polap
Combining SVD and Co-occurrence Matrix Information to Recognize Organic Solar Cells Defects with a Elliptical Basis Function Network Classifier. ICAISC (2) (2017)
Dawid Polap, Marcin Wozniak
Polar Bear Optimization Algorithm: Meta-Heuristic with Fast Population Movement and Dynamic Birth and Death Mechanism. Symmetry 9 (10) (2017)
Dawid Polap, Karolina Kesik, Kamil Ksiazek, Marcin Wozniak
Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques. Sensors 17 (12) (2017)

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Publication Activity (10 Years)

Top Topics

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Dawid Polap