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Clément Lefebvre

3 papers hereh-index 11 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

eess.SP2025

Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data

Francisco López, Eduardo Di Santi, Clément Lefebvre +4

Track Circuits (TC) are the main signalling devices used to detect the presence of a train on a rail track. It has been used since the 19th century and nowadays there are many type…

eess.SP2025

Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning

Eduardo Di Santi, Ruixiang Ci, Clément Lefebvre +5

The Point Machine (PM) is a critical piece of railway equipment that switches train routes by diverting tracks through a switchblade. As with any critical safety equipment, a failu…

cs.AI2025

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks

Debdeep Mukherjee, Eduardo Di Santi, Clément Lefebvre +5

Track circuits are critical for railway operations, acting as the main signalling sub-system to locate trains. Continuous Variable Current Modulation (CVCM) is one such technology.…

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