| Neural Network powered COVID-19 spread forecasting model M Wieczorek, J Siłka, M WoĽniak Chaos, Solitons & Fractals, 110203, 2020 | 161 | 2020 |
| Deep neural network correlation learning mechanism for CT brain tumor detection M WoĽniak, J Siłka, M Wieczorek Neural Computing and Applications 35 (20), 14611-14626, 2023 | 154 | 2023 |
| Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations M Wieczorek, J Siłka, M WoĽniak, S Garg, MM Hassan IEEE Transactions on Industrial Informatics 18 (7), 4820-4829, 2021 | 98 | 2021 |
| Recurrent neural network model for IoT and networking malware threat detection M WoĽniak, J Siłka, M Wieczorek, M Alrashoud IEEE Transactions on Industrial Informatics 17 (8), 5583-5594, 2020 | 92 | 2020 |
| BiLSTM deep neural network model for imbalanced medical data of IoT systems M WoĽniak, M Wieczorek, J Siłka Future Generation Computer Systems 141, 489-499, 2023 | 71 | 2023 |
| Body pose prediction based on motion sensor data and recurrent neural network M WoĽniak, M Wieczorek, J Siłka, D Połap IEEE Transactions on Industrial Informatics 17 (3), 2101-2111, 2020 | 69 | 2020 |
| Recurrent neural network model for high-speed train vibration prediction from time series J Siłka, M Wieczorek, M WoĽniak Neural Computing and Applications 34 (16), 13305-13318, 2022 | 58 | 2022 |
| Real-time neural network based predictor for cov19 virus spread M Wieczorek, J Siłka, D Połap, M WoĽniak, R Damaąevičius PloS one 15 (12), e0243189, 2020 | 38 | 2020 |
| Deep neural network with transfer learning in remote object detection from drone M WoĽniak, M Wieczorek, J Siłka Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted …, 2022 | 31 | 2022 |
| Malaria Detection Using Advanced Deep Learning Architecture W Siłka, M Wieczorek, J Siłka, M WoĽniak Sensors 23 (3), 1501, 2023 | 30 | 2023 |
| Deep learning based crowd counting model for drone assisted systems M WoĽniak, J Siłka, M Wieczorek Proceedings of the 4th ACM MobiCom Workshop on Drone Assisted Wireless …, 2021 | 29 | 2021 |
| Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management Q Ke, J Siłka, M Wieczorek, Z Bai, M WoĽniak IEEE Transactions on Intelligent Transportation Systems 23 (9), 16752-16762, 2022 | 22 | 2022 |
| Data augmentation using principal component resampling for image recognition by deep learning OO Abayomi-Alli, R Damaąevičius, M Wieczorek, M WoĽniak Artificial Intelligence and Soft Computing: 19th International Conference …, 2020 | 13 | 2020 |
| Future Graduate Salaries Prediction Model Based On Recurrent Neural Network J Siłka, M Wieczorek, M WoĽniak 2020 15th Conference on Computer Science and Information Systems (FedCSIS …, 2020 | 1 | 2020 |
| Semantic Segmentation Neural Network in Automatic Weapon Detection M Wieczorek, J Siłka, M Kobielnik, M WoĽniak International Conference on Artificial Intelligence and Soft Computing, 112-120, 2023 | | 2023 |
| Malaria detection using custom Semantic Segmentation Neural Network Architecture N WOJTAS, M WIECZOREK, Z BEŁKOT Med. Weter 79 (8), 406-412, 2023 | | 2023 |
| Recurrent neural network model for high-speed train vibration prediction from time series J Silka, M Wieczorek, M Wozniak NEURAL COMPUTING & APPLICATIONS 34 (16), 13305-13318, 2022 | | 2022 |
| BiLSTM Deep Learning Model for Heart Problems Detection J Siłka, M Wieczorek, M Kobielnik, M WoĽniak International Conference on Artificial Intelligence and Soft Computing, 93-104, 2022 | | 2022 |
| Custom semantic segmentation neural network architecture in spirochaete detection application M Wieczorek, N Wojtas | | 2022 |
| Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration M Wieczorek, J Siłka, M WoĽniak Intelligent Cyber-Physical Systems for Autonomous Transportation, 201-212, 2021 | | 2021 |
