Numerical Performance in the Grid Network Relies on a Grid Appliance. - Dariusz Czerwinski (CN, 2011)

Resource Management in Grid Systems. - Dariusz Czerwinski; Slawomir Przylucki; Przemyslaw Matejczuk (CN, 2012)

Influence of the VM Manager on Private Cluster Data Mining System. - Dariusz Czerwinski (CN, 2014)

Digital Filter Implementation in Hadoop Data Mining System. - Dariusz Czerwinski (CN, 2015)

Color-Aware Transmission of SVC Video over DiffServ Domain. - Slawomir Przylucki; Dariusz Czerwinski (CN, 2015)

RSSI-Based Localisation of the Radio Waves Source by Mobile Agents. - Dariusz Czerwinski; Slawomir Przylucki; Dmitry Mukharsky (CN, 2016)

QoE-Oriented Fairness Control for DASH Systems Based on the Hierarchical Structure of SVC Streams. - Slawomir Przylucki; Dariusz Czerwinski; Artur Sierszen (CN, 2016)

Path Loss Model for a Wireless Sensor Network in Different Weather Conditions. - Dariusz Czerwinski; Slawomir Przylucki; Piotr Wojcicki; Jaroslaw Sitkiewicz (CN, 2017)

Software Defined Home Network for Distribution of the SVC Video Based on the DASH Principles. - Slawomir Przylucki; Artur Sierszen; Dariusz Czerwinski (CN, 2017)

Acquiring the History of the City with Collaborative Game Based Learning. - Dariusz Czerwinski; Marek Milosz; Patryk Karczmarczyk; Mateusz Kutera; Marcin Najda (ICL (1), 2017)

The use of RFID technology to control a 3D model realising the gamification paradigm. - Dariusz Czerwinski; Marek Milosz; Jerzy Montusiewicz; Mikhail Tokovarov (RFID-TA, 2017)

Priority-Aware Packet Pre-marking for DiffServ Architecture Based on H.264/SVC Video Stream Structure. - Slawomir Przylucki; Dariusz Czerwinski (Wirel. Pers. Commun., 2017)

Evaluation of the Jammers Performance in the WiFi Band. - Dariusz Czerwinski; Jaroslaw Nowak; Slawomir Przylucki (CN, 2018)

An Impact of Jamming Signal on the Energy Efficiency of ZigBee Network Elements. - Dariusz Czerwinski; Jaroslaw Nowak; Slawomir Przylucki (CN, 2019)

An Application of Fuzzy C-Means, Fuzzy Cognitive Maps, and Fuzzy Rules to Forecasting First Arrival Date of Avian Spring Migrants. - Dariusz Czerwinski; Adam Kiersztyn; Rafal Lopucki; Pawel Karczmarek; Ignacy Kitowski; Adam Zbyryt (FUZZ-IEEE, 2020)

The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means. - Pawel Karczmarek; Witold Pedrycz; Dariusz Czerwinski; Adam Kiersztyn (FUZZ-IEEE, 2020)

Influence of the Fuzzy Robust Gamma Rank Correlation, Fuzzy C-Means, and Fuzzy Cognitive Maps to Predict the Z Generation's Acceptance Attitudes Towards Internet Health Information. - Dariusz Czerwinski; Magdalena Czerwinska; Pawel Karczmarek; Adam Kiersztyn (FUZZ-IEEE, 2021)

K-Medoids Clustering and Fuzzy Sets for Isolation Forest. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Marcin Badurowicz; Dariusz Czerwinski; Jerzy Montusiewicz (FUZZ-IEEE, 2021)

A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data. - Adam Kiersztyn; Rafal Lopucki; Krystyna Kiersztyn; Pawel Karczmarek; Pawel Powroznik; Dariusz Czerwinski; Witold Pedrycz (FUZZ-IEEE, 2021)

Fuzzy C-Means-based Isolation Forest. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Dariusz Czerwinski (Appl. Soft Comput., 2021)

Machine Learning for Sensorless Temperature Estimation of a BLDC Motor. - Dariusz Czerwinski; Jakub Geca; Krzysztof Kolano (Sensors, 2021)

BLDC motor temperature. - Dariusz Czerwinski; Jakub Geca; Krzysztof Kolano (IEEE DataPort, 2021)

On the Understanding of Anomalies in the Oculography Data and Their Classification with an Application of Fuzzy Aggregators. - Michal Dolecki; Pawel Karczmarek; Lukasz Galka; Malgorzata Plechawska-Wójcik; Monika Kaczorowska; Mikhail Tokovarov; Dariusz Czerwinski (FUZZ-IEEE, 2022)

On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data. - Michal Dolecki; Pawel Karczmarek; Lukasz Galka; Magdalena Zawadka; Jakub Smolka; Maria Skublewska-Paszkowska; Edyta Lukasik; Pawel Powroznik; Piotr Gawda; Dariusz Czerwinski (FUZZ-IEEE, 2022)

Quadrature-Inspired Generalized Choquet Integral. - Pawel Karczmarek; Michal Dolecki; Pawel Powroznik; Lukasz Galka; Witold Pedrycz; Dariusz Czerwinski (FUZZ-IEEE, 2022)

Enhanced Tree-Based Anomaly Detection. - Pawel Karczmarek; Lukasz Galka; Michal Dolecki; Witold Pedrycz; Dariusz Czerwinski; Adam Kiersztyn; Rafal Stegierski (FUZZ-IEEE, 2022)

Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Anomaly Detection. - Pawel Karczmarek; Michal Dolecki; Lukasz Galka; Witold Pedrycz; Dariusz Czerwinski (FUZZ, 2023)

Modelling the Level of Sunlight by Using Fuzzy Sets. - Adam Kiersztyn; Dariusz Czerwinski; Pawel Karczmarek; Michal Dolecki; Marek Milosz (FUZZ, 2023)

Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game. - Lukasz Galka; Pawel Karczmarek; Dariusz Czerwinski (ICAISC (1), 2023)

Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems. - Pawel Karczmarek; Michal Dolecki; Pawel Powroznik; Zbigniew A. Lagodowski; Adam Gregosiewicz; Lukasz Galka; Witold Pedrycz; Dariusz Czerwinski; Kamil Jonak (IEEE Access, 2023)

Developing a dynamic/adaptive geofencing algorithm for HVTT cargo security in road transport. - Jakub Kuna; Dariusz Czerwinski; Wojciech Janicki; Piotr Filipek (Earth Sci. Informatics, 2024)

Data integrity vs. inference accuracy in large AIS datasets. - Adam Kiersztyn; Dariusz Czerwinski; Aneta Oniszczuk-Jastrzabek; Ernest Czermanski; Agnieszka Rzepka (CoRR, 2025)