output
20052026
most citedA deep learning-based remaining useful life prediction approach for bearings

235 citations

Showing 2018Show all

17 papers · 1 filter

cs.LG2018★ 235 cited

A deep learning-based remaining useful life prediction approach for bearings

Cheng Cheng, Guijun Ma, Yong Zhang +4

In industrial applications, nearly half the failures of motors are caused by the degradation of rolling element bearings (REBs). Therefore, accurately estimating the remaining usef…

math.DG2018

Affine vector fields on Finsle manifolds

Libing Huang, Qiong Xue

We give characterizations of affine transformations and affine vector fields in terms of the spray. By utilizing the Jacobi type equation that characterizes affine vector fields, w…

cs.CV2018★ 2 cited

Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings

Zhongwei Xie, Lin Li, Xian Zhong +1

Image-to-video person re-identification identifies a target person by a probe image from quantities of pedestrian videos captured by non-overlapping cameras. Despite the great prog…

cs.CL2018

An Instance Transfer based Approach Using Enhanced Recurrent Neural Network for Domain Named Entity Recognition

Lin Li, Yueqing Sun

Recently, neural networks have shown promising results for named entity recognition (NER), which needs a number of labeled data to for model training. When meeting a new domain (ta…

nucl-ex2018★ 7 cited

A novel invariant mass method to isolate resonance backgrounds from the chiral magnetic effect

Hanlin Li, Jie Zhao, Fuqiang Wang

The Chiral Magnetic Effect (CME) refers to charge separation along a strong magnetic field, due to topological charge fluctuations in QCD. Charge correlation () signals consist…

eess.SY2018

Average Consensus by Graph Filtering: New Approach, Explicit Convergence Rate and Optimal Design

Jingwen Yi, Li Chai, Jingxin Zhang

This paper revisits the problem of multi-agent consensus from a graph signal processing perspective. Describing a consensus protocol as a graph spectrum filter, we present an effec…