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Janusz Kolbusz
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2020 – today
- 2023
- [c22]Miroslaw Hajder
, Lucyna Hajder
Cloud Native Approach to the Implementation of an Environmental Monitoring System for Smart City Based on IoT Devices. ICCS (5) 2023: 514-521 - [c21]Miroslaw Hajder, Piotr Hajder
Supporting winter road maintenance procedures with the use of distributed measurements based on IoT, thermodynamic models and machine learning. PerCom Workshops 2023: 515-520 - 2021
- [c20]Miroslaw Hajder
Scalable Computing System with Two-Level Reconfiguration of Multi-channel Inter-Node Communication. ICCS (4) 2021: 540-553 - [c19]Miroslaw Hajder, Piotr Hajder
Architecture and organization of a Platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring. KES 2021: 3711-3721 - 2020
- [c18]Miroslaw Hajder
Data Security Platform Model in Networked Medical IT Systems based on Statistical Classifiers and ANN. KES 2020: 3682-3691
2010 – 2019
- 2019
- [c17]Pawel Rózycki
Effective Training of RBF Networks. HSI 2019: 22-27 - [c16]Pawel Rózycki
The Impact of Architecture on the Deep Neural Networks Training. HSI 2019: 41-46 - [c15]Xing Wu, Pawel Rózycki, Janusz Kolbusz, Bogdan M. Wilamowski:
Constructive Cascade Learning Algorithm for Fully Connected Networks. ICAISC (1) 2019: 236-247 - 2018
- [c14]Janusz Kolbusz
Neural Networks Saturation Reduction. ICAISC (1) 2018: 108-117 - [c13]Pawel Rózycki
Soft Patterns Reduction for RBF Network Performance Improvement. ICAISC (1) 2018: 190-200 - [c12]Pawel Rózycki, Janusz Kolbusz, Grzegorz Krzos, Bogdan M. Wilamowski:
Implementation of Deep Neural Networks for Industry Applications. IECON 2018: 2717-2722 - 2017
- [c11]Janusz Kolbusz, Pawel Rózycki
The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. ICAISC (1) 2017: 97-106 - [c10]Pawel Rózycki
Improvement of RBF Training by Removing of Selected Pattern. ICAISC (1) 2017: 154-164 - 2016
- [j5]Zhan Su, Janusz Kolbusz, Bogdan M. Wilamowski:
Linearization of Bipolar Amplifiers Based on Neural-Network Training Algorithm. IEEE Trans. Ind. Electron. 63(6): 3737-3744 (2016) - [c9]Pawel Rózycki
Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. ICAISC (1) 2016: 136-147 - 2015
- [j4]Carlo Cecati
A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies. IEEE Trans. Ind. Electron. 62(10): 6519-6529 (2015) - [c8]Pawel Rózycki, Janusz Kolbusz:
Enhanced Error Correction Algorithm for RBF Neural Networks. CS&P 2015: 120-129 - [c7]Miroslaw Hajder, Janusz Kolbusz, Roman Korostenskyi:
Designing Reliable Communication for Heterogeneous Computer Systems. CS&P 2015: 182-190 - [c6]Janusz Kolbusz, Pawel Rózycki:
Outliers Elimination for Error Correction Algorithm Improvement. CS&P 2015: 223-234 - [c5]Pawel Rózycki
Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. ICAISC (1) 2015: 112-122 - 2013
- [c4]Miroslaw Hajder, Janusz Kolbusz
Effective method for optimizing hierarchical design process for interactive systems. HSI 2013: 227-230 - [c3]Miroslaw Hajder, Janusz Kolbusz
Cost models for life-cycle phases of information systems. HSI 2013: 231-234 - [c2]Miroslaw Hajder, Janusz Kolbusz
Undirected graph algebra application for formalization description of information flows. HSI 2013: 235-240 - 2012
- [j3]David K. Hunter, Hao Yu, Michael S. Pukish III, Janusz Kolbusz, Bogdan M. Wilamowski:
Selection of Proper Neural Network Sizes and Architectures - A Comparative Study. IEEE Trans. Ind. Informatics 8(2): 228-240 (2012) - [j2]Pierluigi Siano
Real Time Operation of Smart Grids via FCN Networks and Optimal Power Flow. IEEE Trans. Ind. Informatics 8(4): 944-952 (2012) - 2011
- [c1]Janusz Kolbusz, Janusz Korniak:
The Study of Traffic Flow Anomalies in a LAN. IP&C 2011: 477-484
2000 – 2009
- 2006
- [j1]Janusz Kolbusz, Stanislaw Paszczynski, Bogdan M. Wilamowski:
Network Traffic Model for Industrial Environment. IEEE Trans. Ind. Informatics 2(4): 213-220 (2006)
Coauthor Index
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