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Marcin Piekarczyk

Showing results (1-10 of 9) with videos related to

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Sensors (Basel, Switzerland)|January 16, 2020
Machine Learning Methodology in a System Applying the Adaptive Strategy for Teaching Human MotionsKrzysztof Wójcik, Marcin Piekarczyk
Sensors (Basel, Switzerland)|March 28, 2024
On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational DataMarcin Piekarczyk, Tomasz Hachaj
Sensors (Basel, Switzerland)|December 11, 2019
Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU SensorTomasz Hachaj, Marcin Piekarczyk
Sensors (Basel, Switzerland)|July 11, 2023
The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and AlgorithmsTomasz Hachaj, Marcin Piekarczyk
Sensors (Basel, Switzerland)|April 3, 2021
Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural NetworkTomasz Hachaj, Łukasz Bibrzycki, Marcin Piekarczyk
Sensors (Basel, Switzerland)|September 28, 2019
Radial Basis Functions Intended to Determine the Upper Bound of Absolute Dynamic Error at the Output of Voltage-Mode AccelerometersKrzysztof Tomczyk, Marcin Piekarczyk, Grzegorz Sokal
Sensors (Basel, Switzerland)|November 11, 2017
Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate AthletesTomasz Hachaj, Marcin Piekarczyk, Marek R Ogiela
Sensors (Basel, Switzerland)|November 27, 2021
Zernike Moment Based Classification of Cosmic Ray Candidate Hits from CMOS SensorsOlaf Bar, Łukasz Bibrzycki, Michał Niedźwiecki, et al.
Sensors (Basel, Switzerland)|July 24, 2021
CNN-Based Classifier as an Offline Trigger for the CREDO ExperimentMarcin Piekarczyk, Olaf Bar, Łukasz Bibrzycki, et al.
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Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|January 16, 2020
Machine Learning Methodology in a System Applying the Adaptive Strategy for Teaching Human MotionsKrzysztof Wójcik, Marcin Piekarczyk
Sensors (Basel, Switzerland)|March 28, 2024
On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational DataMarcin Piekarczyk, Tomasz Hachaj
Sensors (Basel, Switzerland)|December 11, 2019
Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU SensorTomasz Hachaj, Marcin Piekarczyk
Sensors (Basel, Switzerland)|July 11, 2023
The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and AlgorithmsTomasz Hachaj, Marcin Piekarczyk
Sensors (Basel, Switzerland)|April 3, 2021
Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural NetworkTomasz Hachaj, Łukasz Bibrzycki, Marcin Piekarczyk
Sensors (Basel, Switzerland)|September 28, 2019
Radial Basis Functions Intended to Determine the Upper Bound of Absolute Dynamic Error at the Output of Voltage-Mode AccelerometersKrzysztof Tomczyk, Marcin Piekarczyk, Grzegorz Sokal
Sensors (Basel, Switzerland)|November 11, 2017
Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate AthletesTomasz Hachaj, Marcin Piekarczyk, Marek R Ogiela
Sensors (Basel, Switzerland)|November 27, 2021
Zernike Moment Based Classification of Cosmic Ray Candidate Hits from CMOS SensorsOlaf Bar, Łukasz Bibrzycki, Michał Niedźwiecki, et al.
Sensors (Basel, Switzerland)|July 24, 2021
CNN-Based Classifier as an Offline Trigger for the CREDO ExperimentMarcin Piekarczyk, Olaf Bar, Łukasz Bibrzycki, et al.
Pageof 1