Finite impulse response filter banks realized using switched capacitor technique. - Rafal Dlugosz; Pawel Pawlowski; Adam Dabrowski (ECCTD, 2005)

3.125 Gb/s power efficient line driver with 2-level pre-emphasis and 2 kV HBM ESD protection. - Krzysztof Iniewski; Valery Axelrad; Andrei Shibkov; Artur Balasinski; Sebastian Magierowski; Rafal Dlugosz; Adam Dabrowski (ISCAS (2), 2005)

An Examination of the Effect of Feature Size Scaling on Effective Power Consumption in Analog to Digital Converters. - Keith Boyle; Sai Mohan Kilambi; Rafal Dlugosz; Kris Iniewski; Vincent C. Gaudet (SiPS, 2006)

0.35 m 22W Multiphase Programmable Clock Generator for Circular Memory SC FIR Filter For Wireless Sensor Applications. - Rafal Dlugosz; Krzysztof Iniewski; Tomasz Talaska (SiPS, 2006)

Analog-Counter-Based Conscience Mechanism in Kohonen's Neural Network Implemented in CMOS 0.18 m Technology. - Tomasz Talaska; Ryszard Wojtyna; Rafal Dlugosz; Krzysztof Iniewski; Witold Pedrycz (SiPS, 2006)

Integrated CMOS GSM baseband channel selecting filters realized using switched capacitor finite impulse response technique. - Adam Dabrowski; Rafal Dlugosz; Pawel Pawlowski (Microelectron. Reliab., 2006)

Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology. - Tomasz Talaska; Rafal Dlugosz; Witold Pedrycz (ESANN, 2007)

AnaDig-An Educational Chip for VLSI Device Characterization. - Elzbieta Piwowarska; Wieslaw Kuzmicz; Gabor Farkas; András Poppe; Marin Hristov; E. Manolov; B. Weber; J. Butas; Grzegorz Jablonski; A. Jarosz; Andrzej Kos; Adam Golda; et al. (MSE, 2007)

Flexible Architecture of Ultra-Low-Power Current-Mode Interleaved Successive Approximation Analog-to-Digital Converter for Wireless Sensor Networks. - Rafal Tomasz Dlugosz; Krzysztof Iniewski (VLSI Design, 2007)

Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology. - Marta Kolasa; Rafal Dlugosz (ESANN, 2008)

Initialization mechanism in Kohonen neural network implemented in CMOS technology. - Tomasz Talaska; Rafal Dlugosz (ESANN, 2008)

Current-mode memory cell with power down phase for discrete time analog iterative decoders. - Rafal Dlugosz; Vincent C. Gaudet (ISCAS, 2008)

Power and area efficient circular-memory switched-capacitor FIR baseband filter for WCDMA/GSM. - Rafal Dlugosz; Kris Iniewski (ISCAS, 2008)

An Asynchronous Programmable Parallel 2-D Image Filter CMOS Ic Based on the Gilbert Vector Multiplier. - Rafal Dlugosz; Vincent C. Gaudet (BIODEVICES, 2009)

New Fast Training Algorithm Suitable for Hardware Kohonen Neural Networks Designed for Analysis of Biomedical Signals. - Rafal Dlugosz; Marta Kolasa (BIODEVICES, 2009)

Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps. - Marta Kolasa; Rafal Dlugosz (ESANN, 2009)

Programmable Switched Capacitor Finite Impulse Response Filter with Circular Memory Implemented in CMOS 0.18 µm Technology. - Rafal Dlugosz; Krzysztof Iniewski (J. Signal Process. Syst., 2009)

Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology. - Rafal Dlugosz; Marta Kolasa; Witold Pedrycz (ESANN, 2010)

lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. - Rafal Dlugosz; Witold Pedrycz (Neurocomputing, 2010)

Low power current-mode binary-tree asynchronous Min/Max circuit. - Rafal Dlugosz; Tomasz Talaska (Microelectron. J., 2010)

Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. - Rafal Dlugosz; Tomasz Talaska; Witold Pedrycz; Ryszard Wojtyna (IEEE Trans. Neural Networks, 2010)

Fisherman learning algorithm of the SOM realized in the CMOS technology. - Rafal Dlugosz; Marta Kolasa; Witold Pedrycz (ESANN, 2011)

Power efficient asynchronous multiplexer for X-ray sensors in medical imaging analog front-end electronics. - Rafal Dlugosz; Pierre-André Farine; Kris Iniewski (Microelectron. J., 2011)

Current-Mode Analog Adaptive Mechanism for Ultra-Low-Power Neural Networks. - Rafal Dlugosz; Tomasz Talaska; Witold Pedrycz (IEEE Trans. Circuits Syst. II Express Briefs, 2011)

Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. - Rafal Dlugosz; Marta Kolasa; Witold Pedrycz; Michal Szulc (IEEE Trans. Neural Networks, 2011)

Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA. - Rafal Dlugosz; Marta Kolasa; Michal Szulc; Witold Pedrycz; Pierre-André Farine (ESANN, 2012)

Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology. - Rafal Dlugosz; Tomasz Talaska; Witold Pedrycz; Pierre-André Farine (ESANN, 2012)

A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip. - Marta Kolasa; Rafal Dlugosz; Witold Pedrycz; Michal Szulc (Neural Networks, 2012)

Project and realization of a two-wheels balancing vehicle. - Pawel Bethke; Rafal Dlugosz; Tomasz Talaska (MIXDES, 2013)

An optimized algorithm for recognition of complex patterns based on artificial neural network. - Pawel Gurzynski; Rafal Dlugosz; Tomasz Talaska; Alexandra Swietlicka (MIXDES, 2013)

An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps. - Marta Kolasa; Rafal Dlugosz; Tomasz Talaska; Witold Pedrycz (ESANN, 2014)

Problem of efficient initialization of large Self-Organizing Maps implemented in the CMOS technology. - Marta Kolasa; Rafal Dlugosz; Witold Pedrycz (CYBCONF, 2015)

Low chip area, low power dissipation, programmable, current mode, 10-bits, SAR ADC implemented in the CMOS 130nm technology. - Rafal Dlugosz; Gunter Fischer (MIXDES, 2015)

An advanced software model for optimization of self-organizing neural networks oriented on implementation in hardware. - Marta Kolasa; Rafal Dlugosz (MIXDES, 2015)

Analog sorting circuit for the application in self-organizing neural networks based on neural gas learning algorithm. - Tomasz Talaska; Rafal Dlugosz (MIXDES, 2015)

A novel recursive algorithm used to model hardware programmable neighborhood mechanism of self-organizing neural networks. - Marta Kolasa; Tomasz Talaska; Rafal Dlugosz (Appl. Math. Comput., 2015)

An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology. - Tomasz Talaska; Marta Kolasa; Rafal Dlugosz; Pierre-André Farine (Appl. Math. Comput., 2015)

A 10-phases programmable clock generator for the application in control of SAR ADC realized in the CMOS 130 nm technology. - Rafal Dlugosz; Tomasz Talaska (MIXDES, 2016)

Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology. - Tomasz Talaska; Marta Kolasa; Rafal Dlugosz; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2016)

Efficient transistor level implementation of selected fuzzy logic operators used in control systems. - Tomasz Talaska; Rafal Dlugosz; Pawel Skruch (KKA, 2017)

A serial distance calculation circuit for the application in artificial neural networks and pattern recognition. - Marta Kolasa; Tomasz Talaska; Rafal Dlugosz (MIXDES, 2017)

Hardware implementation of the particle swarm optimization algorithm. - Tomasz Talaska; Rafal Dlugosz; Witold Pedrycz (MIXDES, 2017)

Novel Solutions for Smart Cities - Creating Air Pollution Maps Based on Intelligent Sensors. - Marzena Banach; Tomasz Talaska; Rafal Dlugosz (FedCSIS, 2018)

Nonlinear Activation Functions for Artificial Neural Networks Realized in Hardware. - Zofia Dlugosz; Rafal Dlugosz (MIXDES, 2018)

Low Power, Low Chip Area, Programmable PID Controller Realized in the CMOS Technology. - Tomasz Talaska; Rafal Dlugosz (MIXDES, 2018)

Parallel, Asynchronous Winner Selection Circuit for Hardware Implemented Self-Organizing Maps. - Tomasz Talaska; Marta Kolasa; Rafal Dlugosz (MIXDES, 2018)

Programmable, switched-capacitor finite impulse response filter realized in CMOS technology for education purposes. - Pawel Pawlowski; Adam Pawlikowski; Rafal Dlugosz; Adam Dabrowski (SPA, 2018)

Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware. - Marta Kolasa; Rafal Dlugosz; Tomasz Talaska; Witold Pedrycz (Appl. Math. Comput., 2018)

Analog, parallel, sorting circuit for the application in Neural Gas learning algorithm implemented in the CMOS technology. - Tomasz Talaska; Rafal Dlugosz (Appl. Math. Comput., 2018)

Solutions for Planning Smart Hybrid Public Transportation System - Poznan Agglomeration as a Case Study of Satellite Towns' Connections. - Marzena Banach; Katarzyna Kubiak; Rafal Dlugosz (FedCSIS (Communication Papers), 2019)

Positioning Improving of RSU Devices Used in V2I Communication in Intelligent Transportation System. - Rafal Dlugosz; Marzena Banach; Katarzyna Kubiak (FedCSIS (Communication Papers), 2019)

A Low Power, Low Chip Area, Two-stage Current-mode DAC Implemented in CMOS 130 nm Technology. - Jakub Dalecki; Rafal Dlugosz; Tomasz Talaska; Gunter Fischer (MIXDES, 2019)

Trade-offs and Other Challenges in CMOS Implementation of Parallel FIR Filters. - Katarzyna Kubiak; Rafal Dlugosz (MIXDES, 2019)

Techniques to Facilitate the Use of V2I Communication System as Support for Traffic Sign Recognition Algorithms. - Marzena Banach; Rafal Dlugosz (MMAR, 2019)

Selected Methods for Increasing the Accuracy of Vehicle Lights Detection. - Piotr Bogacki; Rafal Dlugosz (MMAR, 2019)

Static Camera Calibration for Advanced Driver Assistance System Used in Trucks - Robust Detector of Calibration Points. - Rafal Dlugosz; Waldemar Dworakowski; Piotr Suliga (MMAR, 2019)

Calculation of descriptive statistics by devices with low computational resources for use in calibration of V2I system. - Katarzyna Kubiak; Marzena Banach; Rafal Dlugosz (MMAR, 2019)

Low Hardware Complexity Filters for On-Chip Algorithm Used in Air Pollution Sensors for Dense Urban Areas in Smart Cities. - Zofia Dlugosz; Michal Rajewski; Marzena Banach; Tomasz Talaska; Rafal Dlugosz (MIXDES, 2020)

Modified Particle Swarm Optimization Algorithm Facilitating Its Hardware Implementation. - Michal Rajewski; Zofia Dlugosz; Rafal Dlugosz; Tomasz Talaska (MIXDES, 2020)

Switched-capacitor finite impulse response rotator filter. - Pawel Pawlowski; Rafal Dlugosz; Adam Dabrowski (SPA, 2020)

New technologies for smart cities - high-resolution air pollution maps based on intelligent sensors. - Marzena Banach; Tomasz Talaska; Jakub Dalecki; Rafal Dlugosz (Concurr. Comput. Pract. Exp., 2020)

Hardware Efficient Solutions for Wireless Air Pollution Sensors Dedicated to Dense Urban Areas. - Marzena Banach; Rafal Dlugosz; Jolanta Pauk; Tomasz Talaska (Remote. Sens., 2020)

A Novel, Low Computational Complexity, Parallel Swarm Algorithm for Application in Low-Energy Devices. - Zofia Dlugosz; Michal Rajewski; Rafal Dlugosz; Tomasz Talaska (Sensors, 2021)

Air Pollution Monitoring System with Prediction Abilities Based on Smart Autonomous Sensors Equipped with ANNs with Novel Training Scheme. - Marzena Banach; Rafal Dlugosz; Tomasz Talaska; Witold Pedrycz (Remote. Sens., 2022)

Solutions for Creating Virtual Tracks for Autonomous Vehicles, Based on Vehicle-to-Infrastructure Technology. - Marzena Banach; Piotr Bogacki; Zofia Dlugosz; Tomasz Talaska; Rafal Dlugosz (MIXDES, 2023)

Detection of Unoccupied Areas of the Road in Images from Mono Camera with Use of Multilevel Image Decomposition. - Piotr Bogacki; Zofia Dlugosz; Marzena Banach; Tomasz Talaska; Rafal Dlugosz (MIXDES, 2023)

Analog, Programmable Switched Capacitor FIR Filter Based on Rotator Architecture Implemented in CMOS Technology. - Pawel Pawlowski; Rafal Dlugosz; Marek Radkowski; Mateusz Watly; Adam Dabrowski (SPA, 2023)

A Binary-Directional Shape Descriptor for the Enhancement of Real-Time Automatic Headlight Control Function. - Piotr Bogacki; Rafal Dlugosz (IEEE Access, 2023)

A new deterministic PSO algorithm for real-time systems implemented on low-power devices. - Zofia Dlugosz; Michal Rajewski; Rafal Dlugosz; Tomasz Talaska; Witold Pedrycz (J. Comput. Appl. Math., 2023)

A novel approach to cities' assessment in terms of their implementation of smart city idea. - Marzena Banach; Rafal Dlugosz (J. Comput. Appl. Math., 2023)

A novel, flexible circuit used to implement selected mathematical operations for AI algorithms optimized for hardware applications. - Zofia Dlugosz; Rafal Dlugosz; Tomasz Talaska (J. Comput. Appl. Math., 2023)

A novel hardware implemented programmable controller adapted to cooperate with AI tuning algorithms in real time systems. - Tomasz Talaska; Zofia Dlugosz; Rafal Dlugosz (J. Comput. Appl. Math., 2023)

A Method Supporting Hardware Implementation of Vector Quantization Module in HoG Algorithm. - Zofia Dlugosz; Tomasz Talaska; Rafal Dlugosz (MIXDES, 2024)

Solutions for planning smart hybrid public transportation system based on Google Maps and Voronoi diagrams. - Marzena Banach; Rafal Dlugosz (J. Comput. Appl. Math., 2026)

Improving shape classification accuracy with Binary Directional Shape descriptors in image processing. - Piotr Bogacki; Michal Dlugosz; Zofia Dlugosz; Tomasz Talaska; Rafal Dlugosz (J. Comput. Appl. Math., 2026)

A new, cost-efficient modular sensor platform for IoT and predictive maintenance in industrial applications. - Pawel Dera; Tomasz Talaska; Rafal Dlugosz (J. Comput. Appl. Math., 2026)

A computationally optimized procedure based on discrete wavelet transform supporting analysis of medical images. - Zofia Dlugosz; Michal Dlugosz; Michal Rajewski; Piotr Bogacki; Aleksandra Sniatkowska; Janusz Winiecki; Tomasz Talaska; Alicja Bartkowska-Sniatkowska; Rafal Dlugosz (J. Comput. Appl. Math., 2026)