Krzysztof Rykaczewski
Tytuł
Cytowane przez
Cytowane przez
Rok
Approximate controllability of differential inclusions in Hilbert spaces
K Rykaczewski
Nonlinear Analysis: Theory, Methods & Applications, 2011
502011
Tagging firefighter activities at the emergency scene: Summary of AAIA'15 data mining competition at Knowledge Pit
M Meina, A Janusz, K Rykaczewski, D Ślęzak, B Celmer, A Krasuski
2015 Federated Conference on Computer Science and Information Systems …, 2015
242015
Application of wavelets and kernel methods to detection and extraction of behaviours of freshwater mussels
P Przymus, K Rykaczewski, R Wiśniewski
Future Generation Information Technology, 43-54, 2011
92011
Zebra mussels’ behaviour detection, extraction and classification using wavelets and kernel methods
P Przymus, K Rykaczewski, R Wiśniewski
Future Generation Computer Systems 33, 81-89, 2014
82014
Systemy rozmyte i ich zastosowania
K Rykaczewski
URL: http://www-users. mat. umk. pl/~ mozgun/prace/duszek. pdf (дата …, 2006
82006
Model Fusion for Inertial-based Personal Dead Reckoning Systems
M Meina, A Krasuski, K Rykaczewski
Sensors Applications Symposium (SAS), 2015 IEEE, 2015
72015
On approximate controllability of functional impulsive evolution inclusions in a Hilbert space
A Grudzka, K Rykaczewski
Journal of Optimization Theory and Applications 166 (2), 414-439, 2015
62015
Towards robust framework for on-line human activity reporting using accelerometer readings
M Meina, B Celmer, K Rykaczewski
International Conference on Active Media Technology, 347-358, 2014
52014
Position tracking using inertial and magnetic sensing aided by permanent magnet
M Meina, K Rykaczewski, A Rutkowski
2016 Federated Conference on Computer Science and Information Systems …, 2016
32016
Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels—A Pilot Study on Firefighters
M Meina, E Ratajczak, M Sadowska, K Rykaczewski, J Dreszer, B Bałaj, ...
Sensors 20 (10), 2834, 2020
12020
An Algorithmic Way to Generate Simplexes for Topological Data Analysis.
K Rykaczewski, P Wisniewski, K Stencel
CS&P, 180-188, 2016
12016
supFunSim: spatial filtering toolbox for EEG
K Rykaczewski, J Nikadon, W Duch, T Piotrowski
Neuroinformatics, 1-19, 2020
2020
Iterative Neural Networks with Bounded Weights
T Piotrowski, K Rykaczewski
arXiv preprint arXiv:1908.05982, 2019
2019
Controllability in dynamics of diffusion processes with nonlocal conditions
L Malaguti, K Rykaczewski, V Taddei
Mediterranean Journal of Mathematics 16 (3), 78, 2019
2019
Sterowalność i aproksymacyjna sterowalność inkluzji ewolucyjnych
K Rykaczewski
2018
Lessons learnt from designing indoor positioning system using 868 MHz radios and neural networks
M Meina, B Celmer, K Rykaczewski
2015 Federated Conference on Computer Science and Information Systems …, 2015
2015
2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015,\Lódź, Poland, September 13--16, 2015
M Meina, B Celmer, K Rykaczewski
2015 Federated Conference on Computer Science and Information Systems, 2015
2015
Project G
J MILOTA, N KALUZHINA, B KONRAD, S MEYER, K RYKACZEWSKI
On approximate controllability of impulsive functional evolution inclusion with delay
K Rykaczewski
Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach 1 Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, and Yuko Tsumoto AF or DF, and How to …
HH Chen, C Ramos, Z Vale, L Faria, G Schaefer, T Dohi, PL Stanchev, ...
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