5 papers
The Blueprints of Intelligence: A Functional-Topological Foundation for Perception and Representation
Eduardo Di Santi
Real-world phenomena do not generate arbitrary variability: their signals concentrate on compact, low-variability subsets of functional space, enabling rapid generalisation from fe…
Cognitive Amplification vs Cognitive Delegation in Human-AI Systems: A Metric Framework
Eduardo Di Santi
Artificial intelligence is increasingly embedded in human decision making. In some cases, it enhances human reasoning. In others, it fosters excessive cognitive dependence. This pa…
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…
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…
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.…