Jakub Silka

According to our database, Jakub Silka authored at least 17 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep neural network correlation learning mechanism for CT brain tumor detection.

Marcin Wozniak, Jakub Silka, Michal Wieczorek

Neural Comput. Appl., July, 2023

BiLSTM deep neural network model for imbalanced medical data of IoT systems.

Marcin Wozniak, Michal Wieczorek, Jakub Silka

Future Gener. Comput. Syst., April, 2023

Malaria Detection Using Advanced Deep Learning Architecture.

Wojciech Silka, Michal Wieczorek, Jakub Silka, Marcin Wozniak

Sensors, February, 2023

Semantic Segmentation Neural Network in Automatic Weapon Detection.

Michal Wieczorek, Jakub Silka, Martyna Kobielnik, Marcin Wozniak

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management.

Qiao Ke, Jakub Silka, Michal Wieczorek, Zongwen Bai, Marcin Wozniak

IEEE Trans. Intell. Transp. Syst., 2022

Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations.

Michal Wieczorek, Jakub Silka, Marcin Wozniak, Sahil Garg, Mohammad Mehedi Hassan

IEEE Trans. Ind. Informatics, 2022

Recurrent neural network model for high-speed train vibration prediction from time series.

Jakub Silka, Michal Wieczorek, Marcin Wozniak

Neural Comput. Appl., 2022

Deep neural network with transfer learning in remote object detection from drone.

Marcin Wozniak, Michal Wieczorek, Jakub Silka

Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022

BiLSTM Deep Learning Model for Heart Problems Detection.

Jakub Silka, Michal Wieczorek, Martyna Kobielnik, Marcin Wozniak

Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021

Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network.

Marcin Wozniak, Michal Wieczorek, Jakub Silka, Dawid Polap

IEEE Trans. Ind. Informatics, 2021

Recurrent Neural Network Model for IoT and Networking Malware Threat Detection.

Marcin Wozniak, Jakub Silka, Michal Wieczorek, Mubarak Alrashoud

IEEE Trans. Ind. Informatics, 2021

Deep learning based crowd counting model for drone assisted systems.

Marcin Wozniak, Jakub Silka, Michal Wieczorek

Proceedings of the DroneCom '21: Proceedings of the 4th ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2021

Bidirectional Long Short-Term Memory Classifier Assist for Intelligent Ransomware Detection in Android OS.

Jakub Silka

Proceedings of the 26th International Conference on Information Society and University Studies (IVUS 2021), 2021

Multimodal Image Fusion Method Based on Multiscale Image Matting.

Sarmad Maqsood, Robertas Damasevicius, Jakub Silka, Marcin Wozniak

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

Hiding Information in a Picture File: a System Model with Experimental Design.

Jakub Silka

Proceedings of the Information Society and University Studies 2020, 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

Proceedings of the Artificial Intelligence and Soft Computing, 2020

Future Graduate Salaries Prediction Model Based On Recurrent Neural Network.

Jakub Silka, Michal Wieczorek, Marcin Wozniak

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020