Network Traffic Model for Industrial Environment. - Janusz Kolbusz; Stanislaw Paszczynski; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2006)

The Study of Traffic Flow Anomalies in a LAN. - Janusz Kolbusz; Janusz Korniak (IP&C, 2011)

Selection of Proper Neural Network Sizes and Architectures - A Comparative Study. - David K. Hunter; Hao Yu; Michael S. Pukish III; Janusz Kolbusz; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2012)

Real Time Operation of Smart Grids via FCN Networks and Optimal Power Flow. - Pierluigi Siano; Carlo Cecati; Hao Yu; Janusz Kolbusz (IEEE Trans. Ind. Informatics, 2012)

Effective method for optimizing hierarchical design process for interactive systems. - Miroslaw Hajder; Janusz Kolbusz; Tomasz Bartczak (HSI, 2013)

Cost models for life-cycle phases of information systems. - Miroslaw Hajder; Janusz Kolbusz; Tomasz Bartczak (HSI, 2013)

Undirected graph algebra application for formalization description of information flows. - Miroslaw Hajder; Janusz Kolbusz; Tomasz Bartczak (HSI, 2013)

Designing Reliable Communication for Heterogeneous Computer Systems. - Miroslaw Hajder; Janusz Kolbusz; Roman Korostenskyi (CS&P, 2015)

Outliers Elimination for Error Correction Algorithm Improvement. - Janusz Kolbusz; Pawel Rózycki (CS&P, 2015)

Enhanced Error Correction Algorithm for RBF Neural Networks. - Pawel Rózycki; Janusz Kolbusz (CS&P, 2015)

Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. - Pawel Rózycki; Janusz Kolbusz; Tomasz Bartczak; Bogdan M. Wilamowski (ICAISC (1), 2015)

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies. - Carlo Cecati; Janusz Kolbusz; Pawel Rózycki; Pierluigi Siano; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2015)

Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. - Pawel Rózycki; Janusz Kolbusz; Roman Korostenskyi; Bogdan M. Wilamowski (ICAISC (1), 2016)

Linearization of Bipolar Amplifiers Based on Neural-Network Training Algorithm. - Zhan Su; Janusz Kolbusz; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2016)

The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. - Janusz Kolbusz; Pawel Rózycki; Bogdan M. Wilamowski (ICAISC (1), 2017)

Improvement of RBF Training by Removing of Selected Pattern. - Pawel Rózycki; Janusz Kolbusz; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2017)

Neural Networks Saturation Reduction. - Janusz Kolbusz; Pawel Rózycki; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2018)

Soft Patterns Reduction for RBF Network Performance Improvement. - Pawel Rózycki; Janusz Kolbusz; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2018)

Implementation of Deep Neural Networks for Industry Applications. - Pawel Rózycki; Janusz Kolbusz; Grzegorz Krzos; Bogdan M. Wilamowski (IECON, 2018)

Effective Training of RBF Networks. - Pawel Rózycki; Janusz Kolbusz; Aleksander Malinowski; Bogdan M. Wilamowski (HSI, 2019)

The Impact of Architecture on the Deep Neural Networks Training. - Pawel Rózycki; Janusz Kolbusz; Aleksander Malinowski; Bogdan M. Wilamowski (HSI, 2019)

Constructive Cascade Learning Algorithm for Fully Connected Networks. - Xing Wu 009; Pawel Rózycki; Janusz Kolbusz; Bogdan M. Wilamowski (ICAISC (1), 2019)

Data Security Platform Model in Networked Medical IT Systems based on Statistical Classifiers and ANN. - Miroslaw Hajder; Janusz Kolbusz; Piotr Hajder; Mariusz Nycz; Mateusz Liput (KES, 2020)

Scalable Computing System with Two-Level Reconfiguration of Multi-channel Inter-Node Communication. - Miroslaw Hajder; Piotr Hajder; Mateusz Liput; Janusz Kolbusz (ICCS (4), 2021)

Architecture and organization of a Platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring. - Miroslaw Hajder; Piotr Hajder; Tomasz Gil; Maciej Krzywda; Janusz Kolbusz; Mateusz Liput (KES, 2021)

Cloud Native Approach to the Implementation of an Environmental Monitoring System for Smart City Based on IoT Devices. - Miroslaw Hajder; Lucyna Hajder; Piotr Hajder; Janusz Kolbusz (ICCS (5), 2023)

Supporting winter road maintenance procedures with the use of distributed measurements based on IoT, thermodynamic models and machine learning. - Miroslaw Hajder; Piotr Hajder; Lucyna Hajder; Mateusz Liput; Janusz Kolbusz (PerCom Workshops, 2023)