2 papers
cs.LG2023
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez +3
Predictive Maintenance (PdM) methods aim to facilitate the scheduling of maintenance work before equipment failure. In this context, detecting early faults in automated teller mach…
cs.CV2015
Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network
Daniele Liciotti, Marco Contigiani, Emanuele Frontoni +3
The aim of this paper is to present an integrated system consisted of a RGB-D camera and a software able to monitor shoppers in intelligent retail environments. We propose an innov…