Andrzej Skoczen

The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization pdf

Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, 2017, ArXiv.

Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets pdf

Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, 2016, ArXiv.

Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets pdf

Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, 2017, ArXiv.

A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework pdf

Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, 2016, ArXiv.

Modular ASIC-based system for large-scale electrical stimulation and recording of brain activity in behaving animals

Michal Dwuznik, Ewa Kublik, Andrzej Skoczen, 2016, 2016 MIXDES - 23rd International Conference Mixed Design of Integrated Circuits and Systems.

Looking for a Correct Solution of Anomaly Detection in the LHC Machine Protection System

Maciej Wielgosz, Kazimierz Wiatr, Andrzej Skoczen, 2018, 2018 International Conference on Signals and Electronic Systems (ICSES).

Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor †

Maciej Wielgosz, Andrzej Skoczen, Ernesto De Matteis, 2018, Sensors.

The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization

Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, 2018, Eng. Appl. Artif. Intell..

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

Ewa Kublik, Bartosz Mindur, Andrzej Skoczen, 2021, Sensors.