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Tomasz Talaśka
Tomasz Talaśka
Bydgoszcz University of Science and Technology
Verified email at pbs.edu.pl
Title
Cited by
Cited by
Year
Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks
R Długosz, T Talaśka, W Pedrycz, R Wojtyna
IEEE Transactions on Neural Networks 21 (6), 961-971, 2010
802010
Current-mode analog adaptive mechanism for ultra-low-power neural networks
R Długosz, T Talaśka, W Pedrycz
IEEE Transactions on Circuits and Systems II: Express Briefs 58 (1), 31-35, 2011
472011
Analog programmable distance calculation circuit for winner takes all neural network realized in the CMOS technology
T Talaśka, M Kolasa, R Długosz, W Pedrycz
Ieee transactions on neural networks and learning systems 27 (3), 661-673, 2015
392015
Low power current-mode binary-tree asynchronous Min/Max circuit
R DŁugosz, T Talaśka
Microelectronics Journal 41 (1), 64-73, 2010
362010
Current Mode Euclidean Distance Calculation Circuit for Kohonen's Neural Network Implemented in CMOS 0.18 µm Technology
T Talaśka, R Długosz
Canadian Conference on Electrical and Computer Engineering (CCECE), 437-440, 2007
24*2007
Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 μm Technology
T Talaśka, R Długosz, W Pedrycz
European Symposium on Artificial Neural Networks (ESANN), 151-156, 2007
222007
Transresistance CMOS neuron for adaptive neural networks implemented in hardware
R Wojtyna, T Talaśka
BULLETIN OF THE POLISH ACADEMY OF SCIENCES, TECHNICAL SCIENCES 54 (4), 2006
222006
New binary-tree-based Winner-Takes-All circuit for learning on silicon Kohonen's networks
R Długosz, T Talaśka, R Wojtyna
International Conference On Signals And Electronic Systems (ICSES), 441-446, 2006
192006
Queueing theory model of pentose phosphate pathway
SM Kloska, K Pałczyński, T Marciniak, T Talaśka, M Miller, BJ Wysocki, ...
Scientific reports 12 (1), 4601, 2022
162022
Queueing theory model of Krebs cycle
S Kloska, K Pałczyński, T Marciniak, T Talaśka, M Nitz, BJ Wysocki, ...
Bioinformatics 37 (18), 2912-2919, 2021
152021
New technologies for smart cities–high‐resolution air pollution maps based on intelligent sensors
M Banach, T Talaśka, J Dalecki, R Długosz
Concurrency and Computation: Practice and Experience 32 (13), e5179, 2020
152020
Experimental Kohonen neural network implemented in CMOS 0.18 μm technology
R Długosz, T Talaśka, J Dalecki, R Wojtyna
International Conference Mixed Design of Integrated Circuits and Systems …, 2008
142008
An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology
T Talaśka, M Kolasa, R Długosz, PA Farine
Applied Mathematics and Computation 267, 119-138, 2015
132015
Initialization mechanism in Kohonen neural network implemented in CMOS technology
T Talaśka, R Długosz
European Symposium on Artificial Neural Networks (ESANN), 337-342, 2008
112008
Components of artificial neural networks realized in CMOS technology to be used in intelligent sensors in wireless sensor networks
T Talaśka
Sensors 18 (12), 4499, 2018
102018
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware
M Kolasa, R Długosz, T Talaśka, W Pedrycz
Applied Mathematics and Computation 319, 31-47, 2018
102018
A novel, low computational complexity, parallel swarm algorithm for application in low-energy devices
Z Długosz, M Rajewski, R Długosz, T Talaśka
Sensors 21 (24), 8449, 2021
92021
Implementation Of The Conscience Mechanism For Kohonen's Neural Network In Cmos 0.18 μm Technology
T Talaśka, R Wojtyna, R Długosz, K Iniewski
International Conference Mixed Design of Integrated Circuits and Systems …, 2006
9*2006
Analog-Counter-Based Conscience Mechanism in Kohonen's Neural Network Implemented in CMOS 0.18 μm Technology
T Talaśka, R Wojtyna, R Długosz, K Iniewski, W Pedrycz
IEEE Workshop on Signal Processing Systems Design and Implementation (SIPS …, 2006
92006
Hardware efficient solutions for wireless air pollution sensors dedicated to Dense Urban Areas
M Banach, R Długosz, J Pauk, T Talaśka
Remote Sensing 12 (5), 776, 2020
82020
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