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Tomasz Talaska
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2020 – today
- 2024
- [j21]Damian Trofimowicz, Tomasz P. Stefanski, Jacek Gulgowski, Tomasz Talaska:
Modelling and simulations in time-fractional electrodynamics based on control engineering methods. Commun. Nonlinear Sci. Numer. Simul. 129: 107720 (2024) - [c23]Zofia Dlugosz, Tomasz Talaska, Rafal Dlugosz:
A Method Supporting Hardware Implementation of Vector Quantization Module in HoG Algorithm. MIXDES 2024: 75-79 - 2023
- [j20]Sylwester Kloska, Krzysztof Palczynski, Tomasz Marciniak, Tomasz Talaska, Marissa Miller, Beata J. Wysocki, Paul H. Davis, Tadeusz A. Wysocki:
Conversion of fat to cellular fuel - Fatty acids β-oxidation model. Comput. Biol. Chem. 104: 107860 (2023) - [j19]Krzysztof Palczynski, Magda Czyzewska, Tomasz Talaska:
Fuzzy Gaussian Decision Tree. J. Comput. Appl. Math. 425: 115038 (2023) - [j18]Zofia Dlugosz, Rafal Dlugosz, Tomasz Talaska:
A novel, flexible circuit used to implement selected mathematical operations for AI algorithms optimized for hardware applications. J. Comput. Appl. Math. 428: 115160 (2023) - [j17]Tomasz Talaska, Zofia Dlugosz, Rafal Dlugosz:
A novel hardware implemented programmable controller adapted to cooperate with AI tuning algorithms in real time systems. J. Comput. Appl. Math. 428: 115162 (2023) - [j16]Zofia Dlugosz, Michal Rajewski, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
A new deterministic PSO algorithm for real-time systems implemented on low-power devices. J. Comput. Appl. Math. 429: 115225 (2023) - [c22]Tomasz Talaska:
Message from the General Chairman. ICSPCS 2023: 1-2 - [c21]Piotr Bogacki, Zofia Dlugosz, Marzena Banach, Tomasz Talaska, Rafal Dlugosz:
Detection of Unoccupied Areas of the Road in Images from Mono Camera with Use of Multilevel Image Decomposition. MIXDES 2023: 226-231 - [c20]Marzena Banach, Piotr Bogacki, Zofia Dlugosz, Tomasz Talaska, Rafal Dlugosz:
Solutions for Creating Virtual Tracks for Autonomous Vehicles, Based on Vehicle-to-Infrastructure Technology. MIXDES 2023: 238-243 - 2022
- [j15]Marzena Banach, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
Air Pollution Monitoring System with Prediction Abilities Based on Smart Autonomous Sensors Equipped with ANNs with Novel Training Scheme. Remote. Sens. 14(2): 413 (2022) - 2021
- [j14]Sylwester Kloska, Krzysztof Palczynski, Tomasz Marciniak, Tomasz Talaska, Marissa Nitz, Beata J. Wysocki, Paul H. Davis, Tadeusz A. Wysocki:
Queueing theory model of Krebs cycle. Bioinform. 37(18): 2912-2919 (2021) - [j13]Zofia Dlugosz, Michal Rajewski, Rafal Dlugosz, Tomasz Talaska:
A Novel, Low Computational Complexity, Parallel Swarm Algorithm for Application in Low-Energy Devices. Sensors 21(24): 8449 (2021) - 2020
- [j12]Marzena Banach, Tomasz Talaska, Jakub Dalecki, Rafal Dlugosz:
New technologies for smart cities - high-resolution air pollution maps based on intelligent sensors. Concurr. Comput. Pract. Exp. 32(13) (2020) - [j11]Marzena Banach, Rafal Dlugosz, Jolanta Pauk, Tomasz Talaska:
Hardware Efficient Solutions for Wireless Air Pollution Sensors Dedicated to Dense Urban Areas. Remote. Sens. 12(5): 776 (2020) - [c19]Zofia Dlugosz, Michal Rajewski, Marzena Banach, Tomasz Talaska, Rafal Dlugosz:
Low Hardware Complexity Filters for On-Chip Algorithm Used in Air Pollution Sensors for Dense Urban Areas in Smart Cities. MIXDES 2020: 101-106 - [c18]Michal Rajewski, Zofia Dlugosz, Rafal Dlugosz, Tomasz Talaska:
Modified Particle Swarm Optimization Algorithm Facilitating Its Hardware Implementation. MIXDES 2020: 227-231
2010 – 2019
- 2019
- [j10]Tomasz Talaska:
Parallel, asynchronous, fuzzy logic systems realized in CMOS technology. Adv. Comput. Math. 45(4): 1807-1823 (2019) - [c17]Jakub Dalecki, Rafal Dlugosz, Tomasz Talaska, Gunter Fischer:
A Low Power, Low Chip Area, Two-stage Current-mode DAC Implemented in CMOS 130 nm Technology. MIXDES 2019: 151-156 - 2018
- [j9]Marta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware. Appl. Math. Comput. 319: 31-47 (2018) - [j8]Tomasz Talaska, Rafal Dlugosz:
Analog, parallel, sorting circuit for the application in Neural Gas learning algorithm implemented in the CMOS technology. Appl. Math. Comput. 319: 218-235 (2018) - [j7]Tomasz Talaska:
Components of Artificial Neural Networks Realized in CMOS Technology to be Used in Intelligent Sensors in Wireless Sensor Networks. Sensors 18(12): 4499 (2018) - [c16]Marzena Banach, Tomasz Talaska, Rafal Dlugosz:
Novel Solutions for Smart Cities - Creating Air Pollution Maps Based on Intelligent Sensors. FedCSIS 2018: 619-622 - [c15]Tomasz Talaska, Rafal Dlugosz:
Low Power, Low Chip Area, Programmable PID Controller Realized in the CMOS Technology. MIXDES 2018: 169-172 - [c14]Tomasz Talaska, Marta Kolasa, Rafal Dlugosz:
Parallel, Asynchronous Winner Selection Circuit for Hardware Implemented Self-Organizing Maps. MIXDES 2018: 184-187 - 2017
- [c13]Tomasz Talaska, Rafal Dlugosz, Pawel Skruch:
Efficient transistor level implementation of selected fuzzy logic operators used in control systems. KKA 2017: 787-796 - [c12]Marta Kolasa, Tomasz Talaska, Rafal Dlugosz:
A serial distance calculation circuit for the application in artificial neural networks and pattern recognition. MIXDES 2017: 501-504 - [c11]Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz:
Hardware implementation of the particle swarm optimization algorithm. MIXDES 2017: 521-526 - 2016
- [j6]Tomasz Talaska, Marta Kolasa, Rafal Dlugosz, Witold Pedrycz:
Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology. IEEE Trans. Neural Networks Learn. Syst. 27(3): 661-673 (2016) - [c10]Rafal Dlugosz, Tomasz Talaska:
A 10-phases programmable clock generator for the application in control of SAR ADC realized in the CMOS 130 nm technology. MIXDES 2016: 115-118 - 2015
- [j5]Tomasz Talaska, Marta Kolasa, Rafal Dlugosz, Pierre-André Farine:
An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology. Appl. Math. Comput. 267: 119-138 (2015) - [j4]Marta Kolasa, Tomasz Talaska, Rafal Dlugosz:
A novel recursive algorithm used to model hardware programmable neighborhood mechanism of self-organizing neural networks. Appl. Math. Comput. 267: 314-328 (2015) - [c9]Tomasz Talaska, Rafal Dlugosz:
Analog sorting circuit for the application in self-organizing neural networks based on neural gas learning algorithm. MIXDES 2015: 282-286 - 2014
- [c8]Marta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps. ESANN 2014 - 2013
- [c7]Pawel Gurzynski, Rafal Dlugosz, Tomasz Talaska, Alexandra Swietlicka:
An optimized algorithm for recognition of complex patterns based on artificial neural network. MIXDES 2013: 580-585 - [c6]Pawel Bethke, Rafal Dlugosz, Tomasz Talaska:
Project and realization of a two-wheels balancing vehicle. MIXDES 2013: 621-624 - 2012
- [c5]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Pierre-André Farine:
Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology. ESANN 2012 - 2011
- [j3]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
Current-Mode Analog Adaptive Mechanism for Ultra-Low-Power Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 58-II(1): 31-35 (2011) - 2010
- [j2]Rafal Dlugosz, Tomasz Talaska:
Low power current-mode binary-tree asynchronous Min/Max circuit. Microelectron. J. 41(1): 64-73 (2010) - [j1]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Ryszard Wojtyna:
Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. IEEE Trans. Neural Networks 21(6): 961-971 (2010)
2000 – 2009
- 2008
- [c4]Tomasz Talaska, Rafal Dlugosz:
Initialization mechanism in Kohonen neural network implemented in CMOS technology. ESANN 2008: 337-342 - 2007
- [c3]Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz:
Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology. ESANN 2007: 151-156 - 2006
- [c2]Rafal Dlugosz, Krzysztof Iniewski, Tomasz Talaska:
0.35 m 22W Multiphase Programmable Clock Generator for Circular Memory SC FIR Filter For Wireless Sensor Applications. SiPS 2006: 157-160 - [c1]Tomasz Talaska, Ryszard Wojtyna, Rafal Dlugosz, Krzysztof Iniewski, Witold Pedrycz:
Analog-Counter-Based Conscience Mechanism in Kohonen's Neural Network Implemented in CMOS 0.18 m Technology. SiPS 2006: 416-421
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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