Data-driven predictive maintenance of induction motors using self-supervised and federated learning on noisy current and vibration signals. [PDF]
Gopalakrishnan T +6 more
europepmc +1 more source
ABSTRACT Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high‐fidelity generation of architected microstructures with desired properties and styles. However, these recent methods typically rely on conditional training mechanisms that require extensive labeled data.
Weipeng Xu +5 more
wiley +1 more source
Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. [PDF]
Zhang L, Li T, Zheng X, Kang W, Fu Y.
europepmc +1 more source
Model-based clustering of time-dependent observations with common structural changes. [PDF]
Corradin R +3 more
europepmc +1 more source
Regularization of electromagnetic scattering problems via the Abel integral transform. [PDF]
Vinogradova E, Smith P.
europepmc +1 more source
On the singularities ofDirichlet series
openaire +1 more source
Linear Stability of Schwarzschild-Anti-de Sitter Spacetimes III: Quasimodes and Sharp Decay of Gravitational Perturbations. [PDF]
Graf O, Holzegel G.
europepmc +1 more source
Extraction of driving behavior primitives considering driver expectation and vehicle dynamics. [PDF]
Ren Y, Cui X, Zheng X, Li X, Xi J.
europepmc +1 more source
Ramanujan's partition generating functions modulo ℓ. [PDF]
Bringmann K, Craig W, Ono K.
europepmc +1 more source

