3 papers
cs.LG2026
Multi-Class Electrical and Mechanical Fault Classification Using Random Convolutional Kernels
Mouhamadou Mansour Lo, Mouad Talbaoui, Gildas Morvan +3
Diagnosing faults in rotating machinery is essential for ensuring the reliability of industrial processes. Random convolutional kernel-based Time Series Classification (TSC) method…
nucl-ex2025
Improved direct measurement of low-energy resonances in the Ne(p,)Na reaction
R. S. Sidhu, F. Casaburo, E. Masha +57
In the nova temperature range, 0.1 GK 0.4 GK, several low-energy resonances dominate the Ne(p,)Na reaction rate, which is currently affected by large uncer…
cs.LG2024
Time series classification with random convolution kernels: pooling operators and input representations matter
Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi +2
This article presents a new approach based on MiniRocket, called SelF-Rocket, for fast time series classification (TSC). Unlike existing approaches based on random convolution kern…