FORENSIC FACIAL COMPARISON: CURRENT STATUS, LIMITATIONS, AND FUTURE DIRECTIONS



Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine

ObjectiveIn response to challenges such as large sampling data, extended diagnosis time, and subjective fault Western Show Halters feature selection in traditional bearing fault diagnosis, a CS-DMKELM intelligent diagnosis model for rolling bearings is proposed based on compressed sensing(CS) and deep multi-kernel extreme learning machine(D-MKELM)

read more