Future Graduate Salaries Prediction Model Based On Recurrent Neural Network. - Jakub Silka; Michal Wieczorek 002; Marcin Wozniak (FedCSIS, 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)

Hiding Information in a Picture File: a System Model with Experimental Design. - Jakub Silka (IVUS, 2020)

Multimodal Image Fusion Method Based on Multiscale Image Matting. - Sarmad Maqsood; Robertas Damasevicius; Jakub Silka; Marcin Wozniak (ICAISC (2), 2021)

Bidirectional Long Short-Term Memory Classifier Assist for Intelligent Ransomware Detection in Android OS. - Jakub Silka (IVUS, 2021)

Deep learning based crowd counting model for drone assisted systems. - Marcin Wozniak; Jakub Silka; Michal Wieczorek 002 (DroneCom@MobiCom, 2021)

Recurrent Neural Network Model for IoT and Networking Malware Threat Detection. - Marcin Wozniak; Jakub Silka; Michal Wieczorek 002; Mubarak Alrashoud (IEEE Trans. Ind. Informatics, 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)

BiLSTM Deep Learning Model for Heart Problems Detection. - Jakub Silka; Michal Wieczorek 002; Martyna Kobielnik; Marcin Wozniak (ICAISC (1), 2022)

Deep neural network with transfer learning in remote object detection from drone. - Marcin Wozniak; Michal Wieczorek 002; Jakub Silka (DroneCom@MobiCom, 2022)

Recurrent neural network model for high-speed train vibration prediction from time series. - Jakub Silka; Michal Wieczorek 002; Marcin Wozniak (Neural Comput. Appl., 2022)

Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations. - Michal Wieczorek 002; Jakub Silka; Marcin Wozniak; Sahil Garg; Mohammad Mehedi Hassan (IEEE Trans. Ind. Informatics, 2022)

Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management. - Qiao Ke; Jakub Silka; Michal Wieczorek 002; Zongwen Bai; Marcin Wozniak (IEEE Trans. Intell. Transp. Syst., 2022)

Semantic Segmentation Neural Network in Automatic Weapon Detection. - Michal Wieczorek 002; Jakub Silka; Martyna Kobielnik; Marcin Wozniak (ICAISC (2), 2023)

Malaria Detection Using Advanced Deep Learning Architecture. - Wojciech Silka; Michal Wieczorek 002; Jakub Silka; Marcin Wozniak (Sensors, 2023)

BiLSTM deep neural network model for imbalanced medical data of IoT systems. - Marcin Wozniak; Michal Wieczorek 002; Jakub Silka (Future Gener. Comput. Syst., 2023)

Deep neural network correlation learning mechanism for CT brain tumor detection. - Marcin Wozniak; Jakub Silka; Michal Wieczorek 002 (Neural Comput. Appl., 2023)

Swarm Optimization for Enhanced Random Forest-Based IoT Security. - Jakub Silka; Michal Wieczorek 002; Katarzyna Wiltos; Marcin Wozniak (ICAISC (3), 2024)

Transformer Based Semantic Segmentation Network for Medical Imaging Application. - Michal Wieczorek 002; Jakub Silka; Katarzyna Wiltos; Marcin Wozniak (ICAISC (2), 2024)