李林超

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学位：博士
职称：副教授

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期刊论文

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Linchao Li.Jiasong Zhu*.Baoding Zhou.Wenqi Lu.Hanlin Liu.Xiang Lin.Displacement data imputation in urban internet of things system based on tucker decomposition with L2 regularization,IEEE Internet of Things Journal,2022-01-01.
Linchao Li.Junhui Liu.Chaodong Zhang.Hanlin Liu.Haijun Zhou*.A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHMsystems,Structural Health Monitoring,2021-07-01.
Linchao Li.Carlo G.Prato*.Yonggang Wang.Ranking contributors to traffic crashes on mountainous freeways from an incomplete dataset: A sequential approach of multivariate imputation by chained equations and random forest classifier,Accident Analysis & Prevention,2020-09-01.
Yi Lin.Linchao Li*.Hailong Jiang.Bin Ran.Dongye Sun.Automated traffic incident detection with a smaller dataset based on generative adversarial networks,Accident Analysis & Prevention,2020-09-01.
Linchao Li.Hanlin Liu.Haijun Zhou*.Chaodong Zhang.Missing data estimation method for time series data in structure health monitoring systems by probability principal component analysis,Advances in Engineering Software,2020-09-01.
Linchao Li.Yi Lin*.Bowen Du.Fan Yang.Bin Ran.Real-time traffic incident detection based on a hybrid deep learning model,Transportmetrica A: Transport Science,2020-08-01.
Linchao Li.Haijun Zhou*.Hanlin Liu.Chaodong Zhang.Junhui Liu.A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems,Structural Health Monitoring,2020-07-01.
Linchao Li.Xi Sheng.Bowen Du*.Yonggang Wang.Bin Ran.A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction,Engineering Applications of Artificial Intelligence,2020-05-01.
Linchao Li.Huachun Tan*.Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model,Knowledge-Based Systems,2020-04-01.
Linchao Li.Jiasong Zhu.Bin Ran.Bowen Du*.Coupled application of deep learning model and quantile regression for travel time and its interval estimation using data in different dimensions,Applied Soft Computing,2020-04-01.

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