Andrzej Skoczen

Orcid: 0000-0002-0708-7538

According to our database1, Andrzej Skoczen authored at least 9 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics.
Sensors, 2021

2019
Using Neural Networks with data Quantization for time Series Analysis in LHC Superconducting Magnets.
Int. J. Appl. Math. Comput. Sci., 2019

2018
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor.
Sensors, 2018

The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization.
Eng. Appl. Artif. Intell., 2018

2017
The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization.
CoRR, 2017

Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets.
CoRR, 2017

2016
Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets.
CoRR, 2016

A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework.
CoRR, 2016

Modular ASIC-based system for large-scale electrical stimulation and recording of brain activity in behaving animals.
Proceedings of the 2016 MIXDES, 2016


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