activity
20162026
most citedUsing LSTM recurrent neural networks for monitoring the LHC superconducting magnets

81 citations · 111 across the 7 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Spiking Neural Network Actor-Critic Proximal Policy Optimization Control for Autonomous UAV Navigation Through Constrained Openings in Civil Infrastructure and Buildings

Francis Noah Walugembe, Maciej Wielgosz, Tomaž Goričan +1

Autonomous navigation of unmanned aerial vehicles in constrained three-dimensional environments has been a challenge in the robotics domain. The application of autonomous unmanned…

cs.CV2026

Unsupervised spiking feature learning for event-based pedestrian crossing detection: approaching supervised accuracy without labelled training data

Henok Teklu, Mustafa Sakhai, Matej Mertik +1

Event cameras are well suited to pedestrian crossing detection, and spiking neural networks (SNNs) can process their output natively, but current SNN detectors are trained with sup…

cs.CV2026

Pedestrian Crossing Intent Classification From Event-Based Vision Using Convolutional Spiking Neural Networks With Temporal Augmentation

Henok Teklu, Mustafa Sakhai, Maciej Wielgosz +1

Anticipating whether a pedestrian will cross the road is safety-critical for autonomous vehicles, requiring real-time inference under challenging conditions including motion blur,…

cs.LG2019

Falls Prediction in eldery people using Gated Recurrent Units

Marcin Radzio, Maciej Wielgosz, Matej Mertik

Falls prevention, especially in older people, becomes an increasingly important topic in the times of aging societies. In this work, we present Gated Recurrent Unit-based neural ne…

cs.LG2017★ 22 cited

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

Maciej Wielgosz, Matej Mertik, Andrzej Skoczeń +1

This paper focuses on an examination of an applicability of Recurrent Neural Network models for detecting anomalous behavior of the CERN superconducting magnets. In order to conduc…

cs.SE2017

A Conceptual Framework for Supporting a Rapid Design of Web Applications for Data Analysis of Electrical Quality Assurance Data for the LHC

Matej Mertik, Maciej Wielgosz

The Large Hadron Collider (LHC) is one of the most complex machines ever build. It is composed of many components which constitute a large system. The tunnel and the accelerator is…