434 citations
- SUNY New PaltzUS6 papers
- Hunan UniversityCN5 papers
- State University of New YorkUS5 papers
- COMSATS University IslamabadPK4 papers
- Qatar UniversityQA3 papers
- University of Illinois ChicagoUS3 papers
- Deakin UniversityAU1 paper
- East China Normal UniversityCN1 paper
- Second Affiliated Hospital of Xi'an Jiaotong UniversityCN1 paper
- Tsinghua UniversityCN1 paper
- Xiangtan UniversityCN1 paper
6 papers
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing
Jianguo Chen, Kenli Li, Qingying Deng +2
In this paper, we propose a Distributed Intelligent Video Surveillance (DIVS) system using Deep Learning (DL) algorithms and deploy it in an edge computing environment. We establis…
Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning
Jianguo Chen, Kenli Li, Kashif Bilal +3
Protein interactions constitute the fundamental building block of almost every life activity. Identifying protein communities from Protein-Protein Interaction (PPI) networks is ess…
A Parallel Patient Treatment Time Prediction Algorithm and its Applications in Hospital Queuing-Recommendation in a Big Data Environment
Jianguo Chen, Kenli Li, Zhuo Tang +2
Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for lo…
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
Jianguo Chen, Kenli Li, Huigui Rong +3
It is crucial to provide compatible treatment schemes for a disease according to various symptoms at different stages. However, most classification methods might be ineffective in…
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
Jianguo Chen, Kenli Li, Zhuo Tang +4
With the emergence of the big data age, the issue of how to obtain valuable knowledge from a dataset efficiently and accurately has attracted increasingly attention from both acade…
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
Jianguo Chen, Kenli Li, Kashif Bilal +3
Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. Howev…