most citedIncipient Fault Detection in Power Distribution System: A Time-Frequency Embedded Deep Learning Based Approach

3 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20232 cited

Modified Topological Image Preprocessing for Skin Lesion Classifications

Hong Cheng, Rebekah Leamons, Ahmad Al Shami

This paper proposes a modified Topological Data Analysis model for skin images preprocessing and enhancements. The skin lesion dataset HAM10000 used with the intention of identifyi…

cs.LG2023

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions

Tian Bian, Yuli Jiang, Jia Li +6

Many patients with chronic diseases resort to multiple medications to relieve various symptoms, which raises concerns about the safety of multiple medication use, as severe drug-dr…

eess.SP20233 cited

Incipient Fault Detection in Power Distribution System: A Time-Frequency Embedded Deep Learning Based Approach

Qiyue Li, Huan Luo, Hong Cheng +4

Incipient fault detection in power distribution systems is crucial to improve the reliability of the grid. However, the non-stationary nature and the inadequacy of the training dat…

cs.SI20232 cited

Self-supervised Hypergraph Representation Learning for Sociological Analysis

Xiangguo Sun, Hong Cheng, Bo Liu +4

Modern sociology has profoundly uncovered many convincing social criteria for behavioural analysis. Unfortunately, many of them are too subjective to be measured and presented in o…

cs.DS20212 cited

Revisiting -Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses

Liu Yingfan, Cheng Hong, Cui Jiangtao

The -nearest neighbor graph (KNNG) on high-dimensional data is a data structure widely used in many applications such as similarity search, dimension reduction and clustering. D…