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ORCIDDariusz Czerwinski
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2020 – today
- 2024
[j5]Jakub Kuna
, Dariusz Czerwinski, Wojciech Janicki, Piotr Filipek:
Developing a dynamic/adaptive geofencing algorithm for HVTT cargo security in road transport. Earth Sci. Informatics 17(6): 5189-5206 (2024)- 2023
- [j4]Pawel Karczmarek, Michal Dolecki, Pawel Powroznik, Zbigniew A. Lagodowski, Adam Gregosiewicz, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski, Kamil Jonak:
Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems. IEEE Access 11: 124676-124689 (2023) - [c25]Pawel Karczmarek, Michal Dolecki, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski:
Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Anomaly Detection. FUZZ 2023: 1-8 - [c24]Adam Kiersztyn, Dariusz Czerwinski, Pawel Karczmarek, Michal Dolecki, Marek Milosz:
Modelling the Level of Sunlight by Using Fuzzy Sets. FUZZ 2023: 1-6 - [c23]Lukasz Galka, Pawel Karczmarek, Dariusz Czerwinski:
Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game. ICAISC (1) 2023: 68-77 - 2022
- [c22]Michal Dolecki, Pawel Karczmarek, Lukasz Galka, Malgorzata Plechawska-Wójcik, Monika Kaczorowska, Mikhail Tokovarov, Dariusz Czerwinski:
On the Understanding of Anomalies in the Oculography Data and Their Classification with an Application of Fuzzy Aggregators. FUZZ-IEEE 2022: 1-6 - [c21]Michal Dolecki, Pawel Karczmarek, Lukasz Galka, Magdalena Zawadka, Jakub Smolka, Maria Skublewska-Paszkowska, Edyta Lukasik, Pawel Powroznik, Piotr Gawda, Dariusz Czerwinski:
On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data. FUZZ-IEEE 2022: 1-9 - [c20]Pawel Karczmarek, Michal Dolecki, Pawel Powroznik, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski:
Quadrature-Inspired Generalized Choquet Integral. FUZZ-IEEE 2022: 1-7 - [c19]Pawel Karczmarek, Lukasz Galka, Michal Dolecki, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn, Rafal Stegierski:
Enhanced Tree-Based Anomaly Detection. FUZZ-IEEE 2022: 1-7 - 2021
- [j3]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Dariusz Czerwinski:
Fuzzy C-Means-based Isolation Forest. Appl. Soft Comput. 106: 107354 (2021) - [j2]Dariusz Czerwinski, Jakub Geca, Krzysztof Kolano:
Machine Learning for Sensorless Temperature Estimation of a BLDC Motor. Sensors 21(14): 4655 (2021) - [c18]Dariusz Czerwinski, Magdalena Czerwinska, Pawel Karczmarek, Adam Kiersztyn:
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. FUZZ-IEEE 2021: 1-6 - [c17]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Marcin Badurowicz, Dariusz Czerwinski, Jerzy Montusiewicz:
K-Medoids Clustering and Fuzzy Sets for Isolation Forest. FUZZ-IEEE 2021: 1-8 - [c16]Adam Kiersztyn, Rafal Lopucki, Krystyna Kiersztyn, Pawel Karczmarek, Pawel Powroznik, Dariusz Czerwinski, Witold Pedrycz:
A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data. FUZZ-IEEE 2021: 1-6 - [d1]Dariusz Czerwinski, Jakub Geca, Krzysztof Kolano:
BLDC motor temperature. IEEE DataPort, 2021
- 2020
- [c15]Dariusz Czerwinski, Adam Kiersztyn, Rafal Lopucki, Pawel Karczmarek, Ignacy Kitowski, Adam Zbyryt:
An Application of Fuzzy C-Means, Fuzzy Cognitive Maps, and Fuzzy Rules to Forecasting First Arrival Date of Avian Spring Migrants. FUZZ-IEEE 2020: 1-6 - [c14]Pawel Karczmarek, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn:
The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means. FUZZ-IEEE 2020: 1-7
2010 – 2019
- 2019
- [c13]Dariusz Czerwinski, Jaroslaw Nowak, Slawomir Przylucki:
An Impact of Jamming Signal on the Energy Efficiency of ZigBee Network Elements. CN 2019: 62-75 - 2018
- [c12]Dariusz Czerwinski, Jaroslaw Nowak, Slawomir Przylucki:
Evaluation of the Jammers Performance in the WiFi Band. CN 2018: 171-182 - 2017
- [j1]Slawomir Przylucki, Dariusz Czerwinski:
Priority-Aware Packet Pre-marking for DiffServ Architecture Based on H.264/SVC Video Stream Structure. Wirel. Pers. Commun. 96(4): 5391-5408 (2017) - [c11]Dariusz Czerwinski, Slawomir Przylucki, Piotr Wojcicki, Jaroslaw Sitkiewicz:
Path Loss Model for a Wireless Sensor Network in Different Weather Conditions. CN 2017: 106-117 - [c10]Slawomir Przylucki, Artur Sierszen, Dariusz Czerwinski:
Software Defined Home Network for Distribution of the SVC Video Based on the DASH Principles. CN 2017: 195-206 - [c9]Dariusz Czerwinski, Marek Milosz, Patryk Karczmarczyk, Mateusz Kutera, Marcin Najda:
Acquiring the History of the City with Collaborative Game Based Learning. ICL (1) 2017: 106-115 - [c8]Dariusz Czerwinski, Marek Milosz, Jerzy Montusiewicz, Mikhail Tokovarov:
The use of RFID technology to control a 3D model realising the gamification paradigm. RFID-TA 2017: 22-27 - 2016
- [c7]Slawomir Przylucki, Dariusz Czerwinski, Artur Sierszen:
QoE-Oriented Fairness Control for DASH Systems Based on the Hierarchical Structure of SVC Streams. CN 2016: 180-191 - [c6]Dariusz Czerwinski, Slawomir Przylucki, Dmitry Mukharsky:
RSSI-Based Localisation of the Radio Waves Source by Mobile Agents. CN 2016: 370-383 - 2015
- [c5]Slawomir Przylucki, Dariusz Czerwinski:
Color-Aware Transmission of SVC Video over DiffServ Domain. CN 2015: 203-212 - [c4]Dariusz Czerwinski:
Digital Filter Implementation in Hadoop Data Mining System. CN 2015: 410-420 - 2014
- [c3]Dariusz Czerwinski:
Influence of the VM Manager on Private Cluster Data Mining System. CN 2014: 47-56 - 2012
- [c2]Dariusz Czerwinski, Slawomir Przylucki, Przemyslaw Matejczuk:
Resource Management in Grid Systems. CN 2012: 101-110 - 2011
- [c1]Dariusz Czerwinski:
Numerical Performance in the Grid Network Relies on a Grid Appliance. CN 2011: 214-223
Coauthor Index
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