Donghui Shi

According to our database, Donghui Shi authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analyzing Spatial-Temporal Characteristics and Influencing Mechanisms of Landscape Changes in the Context of Comprehensive Urban Expansion Using Remote Sensing.

Yu Li, Weina Zhen, Bibo Luo, Donghui Shi, Zehong Li

Remote. Sens., June, 2024

Human risky behaviour recognition during ladder climbing based on multi-modal feature fusion and adaptive graph convolutional network.

Wenrui Zhu, Donghui Shi, Rui Cheng, Ruifeng Huang, Tao Hu, Junyi Wang

Signal Image Video Process., April, 2024

Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents.

Donghui Shi, Zhigang Li, Jozef M. Zurada, Andrew S. Manikas, Jian Guan, Pawel Weichbroth

Knowl. Inf. Syst., April, 2024

SlowFast Adaptive Graph Convolutional Network with Multi-Modal Feature Aggregation for Skeleton-Based Action Recognition: Case Study of Human Ladder Climbing.

Wenrui Zhu, Donghui Shi, Tao Hu, Bo Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

Research on the causes of earthwork foundation pit collapse based on Fault tree and Bayesian network.

Donghui Shi, Shuling Gan, Jozef M. Zurada, Feilong Wang, Yuanyuan Wang, Jian Guan

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Spatiotemporal Analysis of Urban Blue Space in Beijing and the Identification of Multifactor Driving Mechanisms Using Remote Sensing.

Ya Chen, Weina Zhen, Yu Li, Ninghui Zhang, Yishao Shi, Donghui Shi

Remote. Sens., November, 2023

Deep Learning in Predicting Real Estate Property Prices: A Comparative Study.

Donghui Shi, Hui Zhang, Jian Guan, Jozef M. Zurada, Zejun Chen, Xiyang Li

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance.

Donghui Shi, Jian Guan, Jozef M. Zurada, Alan S. Levitan

WIREs Data Mining Knowl. Discov., 2022

An Innovative Approach to Modeling Aviation Safety Incidents.

Donghui Shi, Shuai Cao, Jozef M. Zurada, Jian Guan

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Multidimensional Assessment of Lake Water Ecosystem Services Using Remote Sensing.

Donghui Shi, Yishao Shi, Qiusheng Wu

Remote. Sens., 2021

2020

Multidimensional Assessment of Food Provisioning Ecosystem Services Using Remote Sensing and Agricultural Statistics.

Donghui Shi, Yishao Shi, Qiusheng Wu, Ruibo Fang

Remote. Sens., 2020

Improving Prediction Models for Mass Assessment: A Data Stream Approach.

Donghui Shi, Jian Guan, Jozef M. Zurada, Alan S. Levitan

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Batch and data streaming classification models for detecting adverse events and understanding the influencing factors.

Donghui Shi, Jozef M. Zurada, Waldemar Karwowski, Jian Guan, Erman Çakit

Eng. Appl. Artif. Intell., 2019

Data Stream Models for Predicting Adverse Events in a War Theater.

Donghui Shi, Jozef M. Zurada, Waldemar Karwowski, Jian Guan

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2017

New Investors and Bubbles: An Analysis of the Baosteel Call Warrant Bubble.

Binglin Gong, Deng Pan, Donghui Shi

Manag. Sci., 2017

A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems.

Donghui Shi, Jian Guan, Jozef M. Zurada, Andrew S. Manikas

J. Manag. Inf. Syst., 2017

Identification of Human Factors in Aviation Incidents Using a Data Stream Approach.

Donghui Shi, Jozef M. Zurada, Jian Guan

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016

A Bayesian Network Approach to Classifying Bad Debt in Hospitals.

Donghui Shi, Jozef M. Zurada, Jian Guan

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015

A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry.

Donghui Shi, Jozef M. Zurada, Jian Guan

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

2014

Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration.

Jian Guan, Donghui Shi, Jozef M. Zurada, Alan S. Levitan

J. Organ. Comput. Electron. Commer., 2014

A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare.

Donghui Shi, Jozef M. Zurada, Jian Guan

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2013

An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs.

Donghui Shi, Jozef M. Zurada, Jian Guan

Expert Syst. Appl., 2013

A Fuzzy Neural Approach to Classifying Low Back Disorders Risks.

Jozef M. Zurada, Donghui Shi, Jian Guan

Proceedings of the 46th Hawaii International Conference on System Sciences, 2013