Mark Eisen

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios

Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process

Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks

Decentralized Quasi-Newton Methods