Simplified firefly algorithm for 2D image key-points search. - Christian Napoli 001; Giuseppe Pappalardo; Emiliano Tramontana; Zbigniew Marszalek; Dawid Polap; Marcin Wozniak (CIHLI, 2014)

Basic Concept of Cuckoo Search Algorithm for 2D Images Processing with Some Research Results - An Idea to Apply Cuckoo Search Algorithm in 2D Images Key-points Search. - Marcin Wozniak; Dawid Polap (SIGMAP, 2014)

Can We Process 2D Images Using Artificial Bee Colony? - Marcin Wozniak; Dawid Polap; Marcin Gabryel; Robert K. Nowicki; Christian Napoli 001; Emiliano Tramontana (ICAISC (1), 2015)

Is the Colony of Ants Able to Recognize Graphic Objects? - Dawid Polap; Marcin Wozniak; Christian Napoli 001; Emiliano Tramontana; Robertas Damasevicius (ICIST, 2015)

Novel approach toward medical signals classifier. - Marcin Wozniak; Dawid Polap; Robert K. Nowicki; Christian Napoli 001; Giuseppe Pappalardo; Emiliano Tramontana (IJCNN, 2015)

A Novel Approach Toward X-RAY Images Classifier. - Marcin Wozniak; Dawid Polap; Leon Kosmider; Christian Napoli 001; Emiliano Tramontana (SSCI, 2015)

Designing Mazes For 2D Games by Artificial Ant Colony Algorithm. - Dawid Polap (SYSTEM, 2015)

Neuro-heuristic voice recognition. - Dawid Polap (FedCSIS, 2016)

A Real-Time Audio Compression Technique Based on Fast Wavelet Filtering and Encoding. - Nella Romano; Antony Scivoletto; Dawid Polap (FedCSIS, 2016)

Toward adaptive heuristic video frames capturing and correction in real-time. - Marcin Wozniak; Dawid Polap; Giacomo Capizzi; Grazia Lo Sciuto (FedCSIS, 2016)

Introduction to the Model of the Active Assistance System for Elder and Disabled People. - Dawid Polap; Marcin Wozniak (ICIST, 2016)

On manipulation of initial population search space in heuristic algorithm through the use of parallel processing approach. - Marcin Wozniak; Dawid Polap (SSCI, 2016)

Automatic System to Improve Quality of 2D Images Based on Kohonen Classifier. - Dawid Polap (SYSTEM, 2016)

Is swarm intelligence able to create mazes? - Dawid Polap; Marcin Wozniak; Christian Napoli 001; Emiliano Tramontana (CoRR, 2016)

A First Attempt to Cloud-Based User Verification in Distributed System. - Marcin Wozniak; Dawid Polap; Grzegorz Borowik; Christian Napoli 001 (CoRR, 2016)

Graphic object feature extraction system based on Cuckoo Search Algorithm. - Marcin Wozniak; Dawid Polap; Christian Napoli 001; Emiliano Tramontana (Expert Syst. Appl., 2016)

Available Bandwidth Estimation in Smart VPN Bonding Technique based on a NARX Neural Network. - Giacomo Capizzi; Grazia Lo Sciuto; Francesco Beritelli; Francesco Scaglione; Dawid Polap; Kamil Ksiazek; Marcin Wozniak (FedCSIS, 2017)

Extraction of specific data from a sound sample by removing additional distortion. - Dawid Polap (FedCSIS, 2017)

Photo-Electro Characterization and Modeling of Organic Light-Emitting Diodes by Using a Radial Basis Neural Network. - Shiran Nabha Barnea; Grazia Lo Sciuto; Nathaniel Hai; Rafi Shikler; Giacomo Capizzi; Marcin Wozniak; Dawid Polap (ICAISC (2), 2017)

Combining SVD and Co-occurrence Matrix Information to Recognize Organic Solar Cells Defects with a Elliptical Basis Function Network Classifier. - Grazia Lo Sciuto; Giacomo Capizzi; Dor Gotleyb; Sivan Linde; Rafi Shikler; Marcin Wozniak; Dawid Polap (ICAISC (2), 2017)

Extraction and Analysis of Voice Samples Based on Short Audio Files. - Dawid Polap; Marcin Wozniak (ICIST, 2017)

Detection of Important Features from Images Using Heuristic Approach. - Dawid Polap; Marcin Wozniak (ICIST, 2017)

Environment Recognition based on Images using Bag-of-Words. - Taurius Petraitis; Rytis Maskeliunas; Robertas Damasevicius; Dawid Polap; Marcin Wozniak; Marcin Gabryel (IJCCI, 2017)

Environment Scene Classification Based on Images Using Bag-of-Words. - Taurius Petraitis; Rytis Maskeliunas; Robertas Damasevicius; Dawid Polap; Marcin Wozniak; Marcin Gabryel (IJCCI (Selected Papers), 2017)

A Neural Network Pattern Recognition Approach to Automatic Rainfall Classification by Using Signal Strength in LTE/4G Networks. - Francesco Beritelli; Giacomo Capizzi; Grazia Lo Sciuto; Francesco Scaglione; Dawid Polap; Marcin Wozniak (IJCRS (2), 2017)

Radiation heat transfer optimization by the use of modified ant lion optimizer. - Kamil Ksiazek; Dawid Polap; Marcin Wozniak; Robertas Damasevicius (SSCI, 2017)

Lung segmentation on x-ray images with neural validation. - Dawid Polap; Marcin Wozniak (SSCI, 2017)

Image approach to voice recognition. - Dawid Polap; Marcin Wozniak (SSCI, 2017)

The Use of Wavelet Transformation in Conjunction with a Heuristic Algorithm as a Tool for Feature Extraction from Signals. - Dawid Polap; Marcin Wozniak (Inf. Technol. Control., 2017)

Application of Bio-Inspired Methods in Distributed Gaming Systems. - Marcin Wozniak; Dawid Polap; Christian Napoli 001; Emiliano Tramontana (Inf. Technol. Control., 2017)

Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval. - Marcin Wozniak; Dawid Polap (Neural Networks, 2017)

Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques. - Dawid Polap; Karolina Kesik; Kamil Ksiazek; Marcin Wozniak (Sensors, 2017)

Polar Bear Optimization Algorithm: Meta-Heuristic with Fast Population Movement and Dynamic Birth and Death Mechanism. - Dawid Polap; Marcin Wozniak (Symmetry, 2017)

The impact of parallel programming on faster image filtering. - Kamil Ksiazek; Zbigniew Marszalek; Giacomo Capizzi; Christian Napoli 001; Dawid Polap; Marcin Wozniak (FedCSIS, 2018)

Voice control in mixed reality. - Dawid Polap (FedCSIS, 2018)

Block Matching Based Obstacle Avoidance for Unmanned Aerial Vehicle. - Adomas Ivanovas; Armantas Ostreika; Rytis Maskeliunas; Robertas Damasevicius; Dawid Polap; Marcin Wozniak (ICAISC (1), 2018)

Exploiting OSC Models by Using Neural Networks with an Innovative Pruning Algorithm. - Grazia Lo Sciuto; Giacomo Capizzi; Christian Napoli 001; Rafi Shikler; Dawid Polap; Marcin Wozniak (ICAISC (2), 2018)

The Impact of the Cost Function on the Operation of the Intelligent Agent in 2D Games. - Dawid Polap; Marcin Wozniak (ICIST, 2018)

Accident Prevention System During Immersion in Virtual Reality. - Dawid Polap; Karolina Kesik; Marcin Wozniak (MISSI, 2018)

Chest radiographs segmentation by the use of nature-inspired algorithm for lung disease detection. - Dawid Polap; Marcin Wozniak; Robertas Damasevicius; Wei Wei 006 (SSCI, 2018)

Study on Remote Sensing Image Vegetation Classification Method Based on Decision Tree Classifier. - Wei Wei 006; Dawid Polap; Xiaohua Li; Marcin Wozniak; Junzhe Liu (SSCI, 2018)

Small lung nodules detection based on local variance analysis and probabilistic neural network. - Marcin Wozniak; Dawid Polap; Giacomo Capizzi; Grazia Lo Sciuto; Leon Kosmider; Katarzyna Frankiewicz (Comput. Methods Programs Biomed., 2018)

Fully Flexible Parallel Merge Sort for Multicore Architectures. - Zbigniew Marszalek; Marcin Wozniak; Dawid Polap (Complex., 2018)

Heat production optimization using bio-inspired algorithms. - Marcin Wozniak; Kamil Ksiazek; Jakub Marciniec; Dawid Polap (Eng. Appl. Artif. Intell., 2018)

Automated fluorescence microscopy image analysis of Pseudomonas aeruginosa bacteria in alive and dead stadium. - Marcin Wozniak; Dawid Polap; Leon Kosmider; Tomasz Clapa (Eng. Appl. Artif. Intell., 2018)

Multi-threaded learning control mechanism for neural networks. - Dawid Polap; Marcin Wozniak; Wei Wei 006; Robertas Damasevicius (Future Gener. Comput. Syst., 2018)

Object detection and recognition via clustered features. - Marcin Wozniak; Dawid Polap (Neurocomputing, 2018)

A Soft Body Physics Simulator with Computational Offloading to the Cloud. - Edvinas Danevicius; Rytis Maskeliunas; Robertas Damasevicius; Dawid Polap; Marcin Wozniak (Inf., 2018)

Human-machine interaction in intelligent technologies using the augmented reality. - Dawid Polap (Inf. Technol. Control., 2018)

Model of Identity Verification Support System Based on Voice and Image Samples. - Dawid Polap (J. Univers. Comput. Sci., 2018)

Design of Computational Intelligence-based Language Interface for Human-Machine Secure Interaction. - Marcin Wozniak; Dawid Polap; Robertas Damasevicius; Wei Wei 006 (J. Univers. Comput. Sci., 2018)

Adaptive neuro-heuristic hybrid model for fruit peel defects detection. - Marcin Wozniak; Dawid Polap (Neural Networks, 2018)

An Intelligent System for Monitoring Skin Diseases. - Dawid Polap; Alicja Winnicka; Kalina Serwata; Karolina Kesik; Marcin Wozniak (Sensors, 2018)

Bio-inspired methods modeled for respiratory disease detection from medical images. - Marcin Wozniak; Dawid Polap (Swarm Evol. Comput., 2018)

Signature analysis system using a convolutional neural network. - Alicja Winnicka; Karolina Kesik; Dawid Polap (FedCSIS, 2019)

Gamification of Eye Exercises for Evaluating Eye Fatigue. - Mindaugas Vasiljevas; Robertas Damasevicius; Dawid Polap; Marcin Wozniak (ICAISC (2), 2019)

Iterative Design and Implementation of Rapid Gradient Descent Method. - Wei Wei 006; Bin Zhou; Rytis Maskeliunas; Robertas Damasevicius; Dawid Polap; Marcin Wozniak (ICAISC (1), 2019)

Bacteria shape classification by the use of region covariance and Convolutional Neural Network. - Dawid Polap; Marcin Wozniak (IJCNN, 2019)

Acceleration of data handling in neural networks by using cascade classification model. - Dawid Polap; Marcin Wozniak (SSCI, 2019)

Analysis of Skin Marks Through the Use of Intelligent Things. - Dawid Polap (IEEE Access, 2019)

Bio-inspired voice evaluation mechanism. - Dawid Polap; Marcin Wozniak; Robertas Damasevicius; Rytis Maskeliunas (Appl. Soft Comput., 2019)

A neuro-heuristic approach for recognition of lung diseases from X-ray images. - Qiao Ke; Jiangshe Zhang 001; Wei Wei 006; Dawid Polap; Marcin Wozniak; Leon Kosmider; Robertas Damasevicius (Expert Syst. Appl., 2019)

A regional adaptive variational PDE model for computed tomography image reconstruction. - Wei Wei 006; Bin Zhou; Dawid Polap; Marcin Wozniak (Pattern Recognit., 2019)

A Multi-Agent Gamification System for Managing Smart Homes. - Alicja Winnicka; Karolina Kesik; Dawid Polap; Marcin Wozniak; Zbigniew Marszalek (Sensors, 2019)

Automatic Classification Using Machine Learning for Non-Conventional Vessels on Inland Waters. - Marta Wlodarczyk-Sielicka; Dawid Polap (Sensors, 2019)

Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring. - Bin Zhou; Xuemei Duan; Dongjun Ye; Wei Wei 006; Marcin Wozniak; Dawid Polap; Robertas Damasevicius (Sensors, 2019)

A Smartphone Application for Automated Decision Support in Cognitive Task Based Evaluation of Central Nervous System Motor Disorders. - Andrius Lauraitis; Rytis Maskeliunas; Robertas Damasevicius; Dawid Polap; Marcin Wozniak (IEEE J. Biomed. Health Informatics, 2019)

Interpolation merge as augmentation technique in the problem of ship classification. - Marta Wlodarczyk-Sielicka; Dawid Polap (FedCSIS, 2020)

Efficient Visual Classification by Fuzzy Rules. - Marcin Korytkowski; Rafal Scherer; Dominik Szajerman; Dawid Polap; Marcin Wozniak (FUZZ-IEEE, 2020)

Empirical Mode Decomposition Based Data Augmentation for Time Series Prediction Using NARX Network. - Olusola Oluwakemi Abayomi-Alli; Tatjana Sidekerskiene; Robertas Damasevicius; Jakub Silka; Dawid Polap (ICAISC (1), 2020)

Multi-agent Architecture for Internet of Medical Things. - Dawid Polap; Gautam Srivastava 001; Marcin Wozniak (ICAISC (2), 2020)

SURF Algorithm with Convolutional Neural Network as Face Recognition Technique. - Alicja Winnicka; Karolina Kesik; Dawid Polap; Marcin Wozniak (ICAISC (2), 2020)

Encoder-Decoder Based CNN Structure for Microscopic Image Identification. - Dawid Polap; Marcin Wozniak; Marcin Korytkowski; Rafal Scherer (ICONIP (1), 2020)

Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering. - Zongwen Bai; Ying Li 017; Meili Zhou; Di Li 006; Dong Wang 022; Dawid Polap; Marcin Wozniak (IJCNN, 2020)

Blockchain Technology and Neural Networks for the Internet of Medical Things. - Dawid Polap; Gautam Srivastava 001; Alireza Jolfaei; Reza M. Parizi (INFOCOM Workshops, 2020)

Collaborative learning with taboos for machine learning methods in big data problems. - Dawid Polap; Marcin Wozniak (SSCI, 2020)

An adaptive genetic algorithm as a supporting mechanism for microscopy image analysis in a cascade of convolution neural networks. - Dawid Polap (Appl. Soft Comput., 2020)

Intelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory. - Robertas Damasevicius; Rytis Maskeliunas; Gintautas Narvydas; Ruta Narbutaite; Dawid Polap; Marcin Wozniak (J. Ambient Intell. Humaniz. Comput., 2020)

Soft trees with neural components as image-processing technique for archeological excavations. - Marcin Wozniak; Dawid Polap (Pers. Ubiquitous Comput., 2020)

Classification of Non-Conventional Ships Using a Neural Bag-Of-Words Mechanism. - Dawid Polap; Marta Wlodarczyk-Sielicka (Sensors, 2020)

Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning. - Giacomo Capizzi; Grazia Lo Sciuto; Christian Napoli 001; Dawid Polap; Marcin Wozniak (IEEE Trans. Fuzzy Syst., 2020)

Intelligent Home Systems for Ubiquitous User Support by Using Neural Networks and Rule-Based Approach. - Marcin Wozniak; Dawid Polap (IEEE Trans. Ind. Informatics, 2020)

Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data. - Mariusz Pleszczynski; Adam Zielonka; Dawid Polap; Marcin Wozniak; Jacek Mandziuk (CEC, 2021)

Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks. - Dawid Polap; Marcin Wozniak; Jacek Mandziuk (CEC, 2021)

Image features extractor based on hybridization of fuzzy controller and meta-heuristic. - Dawid Polap; Marcin Wozniak (FUZZ-IEEE, 2021)

Federated Learning Model with Augmentation and Samples Exchange Mechanism. - Dawid Polap; Gautam Srivastava 001; Jerry Chun-Wei Lin; Marcin Wozniak (ICAISC (1), 2021)

A Graphic CNN-LSTM Model for Stock Price Predication. - Jimmy Ming-Tai Wu; Zhongcui Li; Youcef Djenouri; Dawid Polap; Gautam Srivastava 001; Jerry Chun-Wei Lin (ICAISC (1), 2021)

Mining of High-Utility Patterns in Big IoT Databases. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Jerry Chun-Wei Lin; Youcef Djenouri; Min Wei; Dawid Polap (ICAISC (2), 2021)

Fuzzy Consensus With Federated Learning Method in Medical Systems. - Dawid Polap (IEEE Access, 2021)

Meta-heuristic as manager in federated learning approaches for image processing purposes. - Dawid Polap; Marcin Wozniak (Appl. Soft Comput., 2021)

Red fox optimization algorithm. - Dawid Polap; Marcin Wozniak (Expert Syst. Appl., 2021)

Agent architecture of an intelligent medical system based on federated learning and blockchain technology. - Dawid Polap; Gautam Srivastava 001; Keping Yu (J. Inf. Secur. Appl., 2021)

Neural image reconstruction using a heuristic validation mechanism. - Dawid Polap; Gautam Srivastava 001 (Neural Comput. Appl., 2021)

Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network. - Marcin Wozniak; Michal Wieczorek 002; Jakub Silka; Dawid Polap (IEEE Trans. Ind. Informatics, 2021)

Neuro-heuristic Pallet Detection for Automated Guided Vehicle Navigation. - Katarzyna Prokop; Dawid Polap; Gautam Srivastava 001 (IEEE Big Data, 2022)

Automatic fuzzy parameter tuning for neural network models. - Dawid Polap (FUZZ-IEEE, 2022)

Human-AI Collaboration to Increase the Perception of VR. - Antoni Jaszcz; Katarzyna Prokop; Dawid Polap; Gautam Srivastava 001; Jerry Chun-Wei Lin (ICAISC (1), 2022)

Ensemble machine learning approaches for webshell detection in Internet of things environments. - Binbin Yong; Wei Wei 006; Kuan-Ching Li; Jun Shen 001; Qingguo Zhou; Marcin Wozniak; Dawid Polap; Robertas Damasevicius (Trans. Emerg. Telecommun. Technol., 2022)

Deep Learning Methods in Short-Term Traffic Prediction: A Survey. - Yue Hou; Xin Zheng; Chengyan Han; Wei Wei 006; Rafal Scherer; Dawid Polap (Inf. Technol. Control., 2022)

AIMM: Artificial Intelligence Merged Methods for flood DDoS attacks detection. - Antoni Jaszcz; Dawid Polap (J. King Saud Univ. Comput. Inf. Sci., 2022)

Design of action correction assistant system in physical education teaching and training based on .NET platform. - Chong-gao Chen; Dawid Polap (Mob. Networks Appl., 2022)

A heuristic approach to the hyperparameters in training spiking neural networks using spike-timing-dependent plasticity. - Dawid Polap; Marcin Wozniak; Waldemar Holubowski; Robertas Damasevicius (Neural Comput. Appl., 2022)

A hybridization of distributed policy and heuristic augmentation for improving federated learning approach. - Dawid Polap; Marcin Wozniak (Neural Networks, 2022)

An Evaluation method for teaching effect of information technology integrated engineering management course based on data clustering. - Xiaolin Liu; Congjin Xie; Dawid Polap (EAI Endorsed Trans. Scalable Inf. Syst., 2022)

Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks. - Dawid Polap; Natalia Wawrzyniak; Marta Wlodarczyk-Sielicka (IEEE Trans. Geosci. Remote. Sens., 2022)

Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System. - Dawid Polap; Antoni Jaszcz; Katarzyna Prokop; Gautam Srivastava 001 (IEEE Big Data, 2023)

AGV Quality of Service Throughput Prediction via Neural Networks. - Katarzyna Prokop; Dawid Polap; Gautam Srivastava 001 (IEEE Big Data, 2023)

Federated Heuristic Optimization Based on Fuzzy Clustering and Red Fox Optimization Algorithm. - Dawid Polap; Katarzyna Prokop; Gautam Srivastava 001 (FUZZ, 2023)

Fuzzy Analysis for Consensus in Federated Learning with Simulated Heuristic Attacks. - Dawid Polap; Gautam Srivastava 001 (FUZZ, 2023)

Child Tracking and Prediction of Violence on Children In Social Media Using Natural Language Processing and Machine Learning. - M. K. Nallakaruppan 001; Gautam Srivastava 001; Thippa Reddy Gadekallu; M. Praveen Kumar Reddy; Sivarama Krishnan; Dawid Polap (ICAISC (1), 2023)

Decentralized Federated Learning Loop with Constrained Trust Mechanism. - Dawid Polap; Katarzyna Prokop; Gautam Srivastava 001; Jerry Chun-Wei Lin (ICAISC (1), 2023)

Bilinear Pooling With Poisoning Detection Module for Automatic Side Scan Sonar Data Analysis. - Dawid Polap; Antoni Jaszcz; Natalia Wawrzyniak; Grzegorz Zaniewicz (IEEE Access, 2023)

Blockchain-based federated learning with checksums to increase security in Internet of Things solutions. - Katarzyna Prokop; Dawid Polap; Gautam Srivastava 001; Jerry Chun-Wei Lin (J. Ambient Intell. Humaniz. Comput., 2023)

Spline Interpolation and Deep Neural Networks as Feature Extractors for Signature Verification Purposes. - Wei Wei 006; Qiao Ke; Dawid Polap; Marcin Wozniak (IEEE Internet Things J., 2023)

Spatial Visualization Based on Geodata Fusion Using an Autonomous Unmanned Vessel. - Marta Wlodarczyk-Sielicka; Dawid Polap; Katarzyna Prokop; Karolina Polap; Andrzej Stateczny (Remote. Sens., 2023)

Detail Feature Inpainting of Art Images in Online Educational Videos based on Double Discrimination Network. - Feng Xue; Dawid Polap (Mob. Networks Appl., 2023)

Hybrid image analysis model for hashtag recommendation through the use of deep learning methods. - Dawid Polap (Expert Syst. Appl., 2023)

Image segmentation enhanced by heuristic assistance for retinal vessels case. - Katarzyna Prokop; Dawid Polap (CEC, 2024)

Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks. - Antoni Jaszcz; Dawid Polap (ICAART (3), 2024)

Heuristic Feedback for Generator Support in Generative Adversarial Network. - Dawid Polap; Antoni Jaszcz (ICAART (3), 2024)

Distracted Driver Recognition Using CNN with Dual Self-attention Module. - Antoni Jaszcz; Dawid Polap (ICAISC (1), 2024)

Biometric Iris Authentication Using a Segmentation Network with Attention and a Key-Points Detection Algorithm. - Katarzyna Prokop; Dawid Polap (ICAISC (3), 2024)

Generating synthetic data using GANs fusion in the digital twins model for sonars. - Dawid Polap; Antoni Jaszcz; Katarzyna Prokop (IJCNN, 2024)

Dual-Encoding Y-ResNet for generating a lens flare effect in images. - Dawid Polap; Antoni Jaszcz; Gautam Srivastava 001 (IJCNN, 2024)

Decentralized medical image classification system using dual-input CNN enhanced by spatial attention and heuristic support. - Dawid Polap; Antoni Jaszcz (Expert Syst. Appl., 2024)

Heuristic-based image stitching algorithm with automation of parameters for smart solutions. - Katarzyna Prokop; Dawid Polap (Expert Syst. Appl., 2024)

Automated Shoreline Segmentation in Satellite Imagery Using USV Measurements. - Antoni Jaszcz; Marta Wlodarczyk-Sielicka; Andrzej Stateczny; Dawid Polap; Ilona Garczynska (Remote. Sens., 2024)

Sonar Digital Twin Layer via Multiattention Networks With Feature Transfer. - Dawid Polap; Antoni Jaszcz (IEEE Trans. Geosci. Remote. Sens., 2024)

Energy Consumption Prediction Model for Smart Homes via Decentralized Federated Learning With LSTM. - Dawid Polap; Gautam Srivastava 001; Antoni Jaszcz (IEEE Trans. Consumer Electron., 2024)

Multimodal Religiously Hateful Social Media Memes Classification Based on Textual and Image Data. - Ameer Hamza; Abdul Rehman Javed; Farkhund Iqbal; Amanullah Yasin; Gautam Srivastava 001; Dawid Polap; Thippa Reddy Gadekallu; Zunera Jalil (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Attention-Enhanced Temporal LSTM Network as a Sonar Position Predictor for Side-Scanning Sonar Waterfall Image. - Piotr Zerdzinski; Dawid Polap; Natalia Wawrzyniak; Grzegorz Zaniewicz; Adam Zielonka (IEEE Access, 2025)

APA-boosted segmentation neural network with flexible set expansion strategy for industrial fault detection. - Katarzyna Prokop; Dawid Polap (Appl. Soft Comput., 2025)

End-to-end food condition system via wavelet attention enhanced network. - Antoni Jaszcz; Dawid Polap (Neurocomputing, 2025)