Liang Shu

Orcid: 0000-0001-6015-0383

According to our database1, Liang Shu authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel attention-based long short term memory and fully connected neutral network approach for production energy consumption prediction under complex working conditions.
Eng. Appl. Artif. Intell., 2024

Research on Dialect Protection: Interaction Design of Chinese Dialects Based on BLSTM-CRF and FBM Theories.
IEEE Access, 2024

2023
A novel digital twin-assisted prediction approach for optimum rescheduling in high-efficient flexible production workshops.
Comput. Ind. Eng., August, 2023

Digital Residual Spectrum-Based Generalized Soft Failure Detection and Identification in Optical Networks.
IEEE Trans. Commun., 2023

ARNets: Action Recurrent Networks for Human Action Recognition.
Proceedings of the 6th International Conference on Image and Graphics Processing, 2023

2022
LoRaWAN Network Downlink Routing Control Strategy Based on the SDN Framework and Improved ARIMA Model.
Future Internet, 2022

Research of Flexible Assembly of Miniature Circuit Breakers Based on Robot Trajectory Optimization.
Algorithms, 2022

2021
Design and Adaptive Control of Matrix Transformer Based Indirect Converter for Large-Capacity Circuit Breaker Testing Application.
IEEE Trans. Ind. Electron., 2021

Towards Fire Prediction Accuracy Enhancements by Leveraging an Improved Naïve Bayes Algorithm.
Symmetry, 2021

MSCFS: inferring circRNA functional similarity based on multiple data sources.
BMC Bioinform., 2021

Experimental Demonstration of Soft Failure Identification Based on Digital Residual Spectrum and Machine Learning.
Proceedings of the International Conference on UK-China Emerging Technologies, 2021

Generalized Soft Failure Identification enabled by Digital Residual Spectrum and Autoencoder.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

Error-Feedback Noise Shaping for Low-Resolution High-Speed IM/DD and Coherent Transmission Systems.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020
Machine learning-based methods and novel data models to predict adverse drug reaction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
Overestimation Trap of Artificial Neural Network: Learning the Rule of PRBS.
Proceedings of the European Conference on Optical Communication, 2018

2016
Frequency-Dependent Sliding-Mode Control of Galfenol-Driven Unimorph Actuator Based on Finite-Element Model.
IEEE Trans. Ind. Electron., 2016


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