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2020 – today
- 2024
[j6]Liangliang Cheng
, Justin de Groot, Kun Xie, Yanxin Si, Xiaodong Han:
Camera-Based Dynamic Vibration Analysis Using Transformer-Based Model CoTracker and Dynamic Mode Decomposition. Sensors 24(11): 3541 (2024)- 2023
- [j5]Liangliang Cheng, Yunfeng Dou, Jian Zhou, Huabin Wang, Liang Tao:
Speaker-Independent Spectral Enhancement for Bone-Conducted Speech. Algorithms 16(3): 153 (2023) - [j4]Jie Ji, Chenbo Xie, Kunming Xing, Bangxin Wang, Jianfeng Chen, Liangliang Cheng, Xu Deng:
Simulation of Compact Spaceborne Lidar with High-Repetition-Rate Laser for Cloud and Aerosol Detection under Different Atmospheric Conditions. Remote. Sens. 15(12): 3046 (2023) - [j3]Liangliang Cheng, Wanlu Zheng, Ya-Nan Zhang, Xuegang Li, Yong Zhao:
Highly Sensitive Fiber-Optic SPR Urea Sensor Based on ZIF-8/Urease. IEEE Trans. Instrum. Meas. 72: 1-7 (2023) - 2022
- [j2]Ming Zhao, Chenbo Xie, Bangxin Wang, Kunming Xing, Jianfeng Chen, Zhiyuan Fang, Lu Li, Liangliang Cheng:
A Rotary Platform Mounted Doppler Lidar for Wind Measurements in Upper Troposphere and Stratosphere. Remote. Sens. 14(21): 5556 (2022) - [j1]Liangliang Cheng, Chenbo Xie, Ming Zhao, Lu Li, Hao Yang, Zhiyuan Fang, Jianfeng Chen, Dong Liu, Yingjian Wang:
Design of Lidar Data Acquisition and Control System in High Repetition Rate and Photon-Counting Mode: Providing Testing for Space-Borne Lidar. Sensors 22(10): 3706 (2022) - 2021
- [i4]Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans:
Vibration-Based Condition Monitoring By Ensemble Deep Learning. CoRR abs/2110.06601 (2021) - [i3]Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans:
CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition. CoRR abs/2110.07191 (2021) - 2020
- [i2]Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans:
Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts. CoRR abs/2007.08789 (2020) - [i1]Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans:
A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection. CoRR abs/2012.02481 (2020)
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