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Keqin Ding
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2020 – today
- 2023
- [j3]Yun Zhang
, Keqin Ding, Na Li
, Hanli Wang
, Xiaoxia Huang
, C.-C. Jay Kuo
:
Perceptually Weighted Rate Distortion Optimization for Video-Based Point Cloud Compression. IEEE Trans. Image Process. 32: 5933-5947 (2023) - [c4]Li Chen
, Yanpeng Feng
, Keqin Ding
:
Comparative research of lifting equipment fatigue life prediction based on different cumulative damage models. ICMLCA 2023: 834-839 - [c3]Christopher L. Hunt, Keqin Ding, Christoph S. Wagner, Nicolas Berberich, Karahan Yilmazer
, Marlis Gonzalez-Fernandez, Gordon Cheng, Nitish V. Thakor:
Investigating the relationship between cue immersion and the strength of motor imagery during hand and wrist movements. NER 2023: 1-4 - 2021
- [j2]Haosen Yang
, Keqin Ding, Robert C. Qiu
, Tiebin Mi:
Remaining Useful Life Prediction Based on Normalizing Flow Embedded Sequence-to-Sequence Learning. IEEE Trans. Reliab. 70(4): 1342-1354 (2021) - [c2]Keqin Ding, Andrei Dragomir, Rohit Bose, Luke Osborn, Manuel S. Seet, Anastasios Bezerianos, Nitish V. Thakor:
Sensory Stimulation Enhances Functional Connectivity towards the Somatosensory Cortex in Upper Limb Amputation. NER 2021: 226-229 - 2020
- [j1]Qianhui Wu, Keqin Ding, Biqing Huang:
Approach for fault prognosis using recurrent neural network. J. Intell. Manuf. 31(7): 1621-1633 (2020) - [c1]Rohit Bose, Keqin Ding
, Manuel S. Seet
, Luke Osborn, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
Sensory Feedback in Upper Limb Amputees Impacts Cortical Activity as Revealed by Multiscale Connectivity Analysis. EMBC 2020: 3844-3847
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last updated on 2024-05-06 20:28 CEST by the dblp team
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