Andrzej Skoczen

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 9

Top Topics

Intravascular Ultrasound

Monitoring System

Recurrent Neural Networks

Top Venues

Eng. Appl. Artif. Intell.

Publications

Pawel Jurgielewicz, Tomasz Fiutowski, Ewa Kublik, Andrzej Skoczen, Malgorzata Szypulska, Piotr Wiacek, Pawel Hottowy, Bartosz Mindur
Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics. Sensors 21 (13) (2021)
Maciej Wielgosz, Andrzej Skoczen
Using Neural Networks with data Quantization for time Series Analysis in LHC Superconducting Magnets. Int. J. Appl. Math. Comput. Sci. 29 (3) (2019)
Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, Ernesto De Matteis
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Eng. Appl. Artif. Intell. 74 (2018)
Maciej Wielgosz, Andrzej Skoczen, Ernesto De Matteis
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor. Sensors 18 (11) (2018)
Maciej Wielgosz, Andrzej Skoczen, Matej Mertik
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets. CoRR (2017)
Maciej Wielgosz, Matej Mertik, Andrzej Skoczen
The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization. CoRR (2017)
Maciej Wielgosz, Andrzej Skoczen, Matej Mertik
Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets. CoRR (2016)
Malgorzata Szypulska, Michal Dwuznik, Piotr Wiacek, Andrzej Skoczen, Tomasz Fiutowski, Mariusz Jedraczka, Joanna Dusik, Mohammed Imran Ahmed, Wladyslaw Dabrowski, Pawel Hottowy, Ewa Kublik
Modular ASIC-based system for large-scale electrical stimulation and recording of brain activity in behaving animals. MIXDES (2016)
Matej Mertik, Maciej Wielgosz, Andrzej Skoczen
A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework. CoRR (2016)