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Related Experiment Video

Updated: Jul 16, 2026

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Published on: April 3, 2026

A Multi-Task Learning Framework with Physics Embedded for Signal Reconstruction and State Prediction in Underground

Xin Chen¹, Lin Zhang¹, Haonian Wu¹

¹School of Robot Engineering, Yangtze Normal University, Chongqing 408100, China.

Neural Networks : the Official Journal of the International Neural Network Society

|July 14, 2026

Summary

No abstract available in PubMed .

Keywords:

Coal mining Hydraulic support Multi-Task Learning Physics-informed neural networks Spatio-temporal forecasting

Related Experiment Videos

Last Updated: Jul 16, 2026

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Published on: April 3, 2026

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