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Shenglin Wang
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2020 – today
- 2024
- [j3]Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova:
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics Comput. Integr. Manuf. 85: 102608 (2024) - 2023
- [j2]Xiangkai Qiu, Shenglin Wang, Ruqing Wang, Yiling Zhang, Liya Huang:
A multi-head residual connection GCN for EEG emotion recognition. Comput. Biol. Medicine 163: 107126 (2023) - [c2]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. FUSION 2023: 1-8 - [i3]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. CoRR abs/2310.19119 (2023) - 2022
- [i2]Christopher Carr, Shenglin Wang, Peng Wang, Liangxiu Han:
Attacking Digital Twins of Robotic Systems to Compromise Security and Safety. CoRR abs/2211.09507 (2022) - [i1]Christopher Carr, Peng Wang, Shenglin Wang:
A Human-friendly Verbal Communication Platform for Multi-Robot Systems: Design and Principles. CoRR abs/2211.09519 (2022) - 2021
- [c1]Shenglin Wang, Peng Wang, Lyudmila Mihaylova, Matthew Hill:
Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification. FUSION 2021: 1-7
2010 – 2019
- 2019
- [j1]Ting Cao, Weixing Wang, Susan L. Tighe, Shenglin Wang:
Crack image detection based on fractional differential and fractal dimension. IET Comput. Vis. 13(1): 79-85 (2019)
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