default search action
Rafal Dlugosz
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c50]Zofia Dlugosz, Tomasz Talaska, Rafal Dlugosz:
A Method Supporting Hardware Implementation of Vector Quantization Module in HoG Algorithm. MIXDES 2024: 75-79 - 2023
- [j24]Piotr Bogacki, Rafal Dlugosz:
A Binary-Directional Shape Descriptor for the Enhancement of Real-Time Automatic Headlight Control Function. IEEE Access 11: 109513-109527 (2023) - [j23]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) - [j22]Marzena Banach, Rafal Dlugosz:
A novel approach to cities' assessment in terms of their implementation of smart city idea. J. Comput. Appl. Math. 428: 115161 (2023) - [j21]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) - [j20]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) - [c49]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 - [c48]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 - [c47]Pawel Pawlowski, Rafal Dlugosz, Marek Radkowski, Mateusz Watly, Adam Dabrowski:
Analog, Programmable Switched Capacitor FIR Filter Based on Rotator Architecture Implemented in CMOS Technology. SPA 2023: 201-206 - 2022
- [j19]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
- [j18]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
- [j17]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) - [j16]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) - [c46]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 - [c45]Michal Rajewski, Zofia Dlugosz, Rafal Dlugosz, Tomasz Talaska:
Modified Particle Swarm Optimization Algorithm Facilitating Its Hardware Implementation. MIXDES 2020: 227-231 - [c44]Pawel Pawlowski, Rafal Dlugosz, Adam Dabrowski:
Switched-capacitor finite impulse response rotator filter. SPA 2020: 133-137
2010 – 2019
- 2019
- [c43]Marzena Banach, Katarzyna Kubiak, Rafal Dlugosz:
Solutions for Planning Smart Hybrid Public Transportation System - Poznan Agglomeration as a Case Study of Satellite Towns' Connections. FedCSIS (Communication Papers) 2019: 67-72 - [c42]Rafal Dlugosz, Marzena Banach, Katarzyna Kubiak:
Positioning Improving of RSU Devices Used in V2I Communication in Intelligent Transportation System. FedCSIS (Communication Papers) 2019: 73-79 - [c41]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 - [c40]Katarzyna Kubiak, Rafal Dlugosz:
Trade-offs and Other Challenges in CMOS Implementation of Parallel FIR Filters. MIXDES 2019: 265-270 - [c39]Piotr Bogacki, Rafal Dlugosz:
Selected Methods for Increasing the Accuracy of Vehicle Lights Detection. MMAR 2019: 227-231 - [c38]Katarzyna Kubiak, Marzena Banach, Rafal Dlugosz:
Calculation of descriptive statistics by devices with low computational resources for use in calibration of V2I system. MMAR 2019: 302-307 - [c37]Marzena Banach, Rafal Dlugosz:
Techniques to Facilitate the Use of V2I Communication System as Support for Traffic Sign Recognition Algorithms. MMAR 2019: 308-313 - [c36]Rafal Dlugosz, Waldemar Dworakowski, Piotr Suliga:
Static Camera Calibration for Advanced Driver Assistance System Used in Trucks - Robust Detector of Calibration Points. MMAR 2019: 538-543 - 2018
- [j15]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) - [j14]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) - [c35]Marzena Banach, Tomasz Talaska, Rafal Dlugosz:
Novel Solutions for Smart Cities - Creating Air Pollution Maps Based on Intelligent Sensors. FedCSIS 2018: 619-622 - [c34]Tomasz Talaska, Rafal Dlugosz:
Low Power, Low Chip Area, Programmable PID Controller Realized in the CMOS Technology. MIXDES 2018: 169-172 - [c33]Tomasz Talaska, Marta Kolasa, Rafal Dlugosz:
Parallel, Asynchronous Winner Selection Circuit for Hardware Implemented Self-Organizing Maps. MIXDES 2018: 184-187 - [c32]Zofia Dlugosz, Rafal Dlugosz:
Nonlinear Activation Functions for Artificial Neural Networks Realized in Hardware. MIXDES 2018: 381-384 - [c31]Pawel Pawlowski, Adam Pawlikowski, Rafal Dlugosz, Adam Dabrowski:
Programmable, switched-capacitor finite impulse response filter realized in CMOS technology for education purposes. SPA 2018: 134-139 - 2017
- [c30]Tomasz Talaska, Rafal Dlugosz, Pawel Skruch:
Efficient transistor level implementation of selected fuzzy logic operators used in control systems. KKA 2017: 787-796 - [c29]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 - [c28]Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz:
Hardware implementation of the particle swarm optimization algorithm. MIXDES 2017: 521-526 - 2016
- [j13]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) - [c27]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
- [j12]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) - [j11]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) - [c26]Marta Kolasa, Rafal Dlugosz, Witold Pedrycz:
Problem of efficient initialization of large Self-Organizing Maps implemented in the CMOS technology. CYBCONF 2015: 36-41 - [c25]Marta Kolasa, Rafal Dlugosz:
An advanced software model for optimization of self-organizing neural networks oriented on implementation in hardware. MIXDES 2015: 266-271 - [c24]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 - [c23]Rafal Dlugosz, Gunter Fischer:
Low chip area, low power dissipation, programmable, current mode, 10-bits, SAR ADC implemented in the CMOS 130nm technology. MIXDES 2015: 348-353 - 2014
- [c22]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
- [c21]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 - [c20]Pawel Bethke, Rafal Dlugosz, Tomasz Talaska:
Project and realization of a two-wheels balancing vehicle. MIXDES 2013: 621-624 - 2012
- [j10]Marta Kolasa, Rafal Dlugosz, Witold Pedrycz, Michal Szulc:
A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip. Neural Networks 25: 146-160 (2012) - [c19]Rafal Dlugosz, Marta Kolasa, Michal Szulc, Witold Pedrycz, Pierre-André Farine:
Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA. ESANN 2012 - [c18]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
- [j9]Rafal Dlugosz, Pierre-André Farine, Kris Iniewski:
Power efficient asynchronous multiplexer for X-ray sensors in medical imaging analog front-end electronics. Microelectron. J. 42(1): 33-42 (2011) - [j8]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) - [j7]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz, Michal Szulc:
Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. IEEE Trans. Neural Networks 22(12): 2091-2104 (2011) - [c17]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Fisherman learning algorithm of the SOM realized in the CMOS technology. ESANN 2011 - 2010
- [j6]Rafal Dlugosz, Witold Pedrycz:
lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. Neurocomputing 73(7-9): 1222-1234 (2010) - [j5]Rafal Dlugosz, Tomasz Talaska:
Low power current-mode binary-tree asynchronous Min/Max circuit. Microelectron. J. 41(1): 64-73 (2010) - [j4]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) - [c16]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology. ESANN 2010
2000 – 2009
- 2009
- [j3]Rafal Dlugosz, Krzysztof Iniewski:
Programmable Switched Capacitor Finite Impulse Response Filter with Circular Memory Implemented in CMOS 0.18 µm Technology. J. Signal Process. Syst. 56(2-3): 295-306 (2009) - [c15]Rafal Dlugosz, Vincent C. Gaudet:
An Asynchronous Programmable Parallel 2-D Image Filter CMOS Ic Based on the Gilbert Vector Multiplier. BIODEVICES 2009: 46-51 - [c14]Rafal Dlugosz, Marta Kolasa:
New Fast Training Algorithm Suitable for Hardware Kohonen Neural Networks Designed for Analysis of Biomedical Signals. BIODEVICES 2009: 364-367 - [c13]Rafal Dlugosz, Witold Pedrycz:
Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. ESANN 2009 - [c12]Marta Kolasa, Rafal Dlugosz:
Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps. ESANN 2009 - 2008
- [c11]Marta Kolasa, Rafal Dlugosz:
Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology. ESANN 2008: 331-336 - [c10]Tomasz Talaska, Rafal Dlugosz:
Initialization mechanism in Kohonen neural network implemented in CMOS technology. ESANN 2008: 337-342 - [c9]Rafal Dlugosz, Vincent C. Gaudet:
Current-mode memory cell with power down phase for discrete time analog iterative decoders. ISCAS 2008: 748-751 - [c8]Rafal Dlugosz, Kris Iniewski:
Power and area efficient circular-memory switched-capacitor FIR baseband filter for WCDMA/GSM. ISCAS 2008: 2326-2329 - 2007
- [j2]Rafal Tomasz Dlugosz, Krzysztof Iniewski:
Flexible Architecture of Ultra-Low-Power Current-Mode Interleaved Successive Approximation Analog-to-Digital Converter for Wireless Sensor Networks. VLSI Design 2007: 45269:1-45269:13 (2007) - [c7]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 - [c6]Elzbieta Piwowarska, Wieslaw Kuzmicz, Gabor Farkas, András Poppe, Marin Hristov, E. Manolov, B. Weber, J. Butas, Grzegorz Jablonski, A. Jarosz, Andrzej Kos, Adam Golda, Rafal Dlugosz:
AnaDig-An Educational Chip for VLSI Device Characterization. MSE 2007: 19-20 - 2006
- [j1]Adam Dabrowski, Rafal Dlugosz, Pawel Pawlowski:
Integrated CMOS GSM baseband channel selecting filters realized using switched capacitor finite impulse response technique. Microelectron. Reliab. 46(5-6): 949-958 (2006) - [c5]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 - [c4]Keith Boyle, Sai Mohan Kilambi, Rafal Dlugosz, Kris Iniewski, Vincent C. Gaudet:
An Examination of the Effect of Feature Size Scaling on Effective Power Consumption in Analog to Digital Converters. SiPS 2006: 194-199 - [c3]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 - 2005
- [c2]Rafal Dlugosz, Pawel Pawlowski, Adam Dabrowski:
Finite impulse response filter banks realized using switched capacitor technique. ECCTD 2005: 257-260 - [c1]Krzysztof Iniewski, Valery Axelrad, Andrei Shibkov, Artur Balasinski, Sebastian Magierowski, Rafal Dlugosz, Adam Dabrowski:
3.125 Gb/s power efficient line driver with 2-level pre-emphasis and 2 kV HBM ESD protection. ISCAS (2) 2005: 1154-1157
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 19:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint