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Displacement Data Imputation in Urban Internet of Things System Based on Tucker Decomposition With L2 Regularization.

L. Li, X. Lin, H. Liu, W. Lu, B. Zhou, and J. Zhu. IEEE Internet Things J., 9 (15): 13315-13326 (2022)

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Linchao Liao

Li Li

Other publications of authors with the same name

DeepVIP: Deep Learning-Based Vehicle Indoor Positioning Using Smartphones.B. Zhou, Z. Gu, F. Gu, P. Wu, C. Yang, X. Liu, L. Li, Y. Li, and Q. Li. IEEE Trans. Veh. Technol., 71 (12): 13299-13309 (2022)Developing machine learning models with multi-source environmental data to predict wheat yield in China.L. Li, B. Wang, P. Feng, D. Liu, Q. He, Y. Zhang, Y. Wang, S. Li, X. Lu, C. Yue and 5 other author(s). Comput. Electron. Agric., (2022)A New Solution for Freeway Congestion: Cooperative Speed Limit Control Using Distributed Reinforcement Learning.C. Wang, J. Zhang, L. Xu, L. Li, and B. Ran. IEEE Access, (2019)Displacement Data Imputation in Urban Internet of Things System Based on Tucker Decomposition With L2 Regularization.L. Li, X. Lin, H. Liu, W. Lu, B. Zhou, and J. Zhu. IEEE Internet Things J., 9 (15): 13315-13326 (2022)Analyzing the Impact of Climate Factors on GNSS-Derived Displacements by Combining the Extended Helmert Transformation and XGboost Machine Learning Algorithm.H. Liu, L. Yang, and L. Li. J. Sensors, (2021)Indoor 3D Adaptive Visible Light Positioning Framework with Resistance to Shadows and Reflections.L. Li, P. Tang, Y. Tong, S. Liu, Y. Yin, and J. Zhang. VTC Fall, page 1-6. IEEE, (2023)Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model.L. Li, B. Du, Y. Wang, L. Qin, and H. Tan. Knowl. Based Syst., (2020)EBL: Efficient background learning for x-ray security inspection.W. Wang, L. He, Y. Li, K. Zhou, L. Li, G. Cheng, and T. Wen. Appl. Intell., 53 (9): 11357-11372 (May 2023)A Physical Law Constrained Deep Learning Model for Vehicle Trajectory Prediction.H. Li, Z. Liao, Y. Rui, L. Li, and B. Ran. IEEE Internet Things J., 10 (24): 22775-22790 (December 2023)Coupled application of deep learning model and quantile regression for travel time and its interval estimation using data in different dimensions.L. Li, B. Ran, J. Zhu, and B. Du. Appl. Soft Comput., (2020)

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Disambiguation of "Li, Linchao"

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URL
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Displacement Data Imputation in Urban Internet of Things System Based on Tucker Decomposition With L2 Regularization.

Please choose a person to relate this publication to

Linchao Liao

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Linchao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Displacement Data Imputation in Urban Internet of Things System Based on Tucker Decomposition With L2 Regularization.

Please choose a person to relate this publication to

Linchao Liao

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Displacement Data Imputation in Urban Internet of Things System Based on Tucker Decomposition With L2 Regularization.