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Tingli Su
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2020 – today
- 2024
- [j27]Yulei Zhang, Yuting Bai, Xuebo Jin, Zhiyao Zhao, Tingli Su:
A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting. Eng. Appl. Artif. Intell. 133: 108315 (2024) - 2023
- [j26]Yuting Bai, Bin Yan, Chenguang Zhou, Tingli Su, Xuebo Jin:
State of art on state estimation: Kalman filter driven by machine learning. Annu. Rev. Control. 56: 100909 (2023) - [j25]Xue-bo Jin, Zhong-Yao Wang, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su, Hui-Jun Ma, Prasun Chakrabarti:
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. Entropy 25(2): 247 (2023) - [j24]Yu-Ting Bai, Wei Jia, Xue-bo Jin, Ting-Li Su, Jian-Lei Kong:
Location estimation based on feature mode matching with deep network models. Frontiers Neurorobotics 17 (2023) - [j23]Xue-bo Jin, Wei Chen, Hui-Jun Ma, Jian-Lei Kong, Ting-Li Su, Yu-Ting Bai:
Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System. Sensors 23(20): 8650 (2023) - [c6]Ting-Li Su, Bin Xue, Xue-Bo Jin, Jian-Lei Kong, Yu-Ting Bai, Hui-Jun Ma:
A Decimal Scaling Normalization Encoder-Decoder Deep Network for Modeling in the Nonlinear Systems. RICAI 2023: 806-809 - 2022
- [j22]Xue-bo Jin, Wentao Gong, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su:
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting. Entropy 24(3): 335 (2022) - [j21]Zhigang Shi, Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jian-Lei Kong:
Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series. Entropy 24(3): 360 (2022) - 2021
- [j20]Xue-Bo Jin, Jia-hui Zhang, Ting-Li Su, Yu-Ting Bai, Jian-Lei Kong, Xiaoyi Wang:
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting. Comput. Intell. Neurosci. 2021: 8810046:1-8810046:13 (2021) - [j19]Xue-bo Jin, Xing-Hong Yu, Tingli Su, Dan-Ni Yang, Yu-Ting Bai, Jian-Lei Kong, Li Wang:
Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy. Entropy 23(2): 219 (2021) - [j18]Zhigang Shi, Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jian-Lei Kong:
Parallel deep prediction with covariance intersection fusion on non-stationary time series. Knowl. Based Syst. 211: 106523 (2021) - [j17]Xuebo Jin, Ruben Jonhson Robert Jeremiah, Ting-Li Su, Yu-Ting Bai, Jian-Lei Kong:
The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods. Sensors 21(6): 2085 (2021) - [j16]Xue-bo Jin, Ai-Qiang Yang, Tingli Su, Jian-Lei Kong, Yuting Bai:
Multi-Channel Fusion Classification Method Based on Time-Series Data. Sensors 21(13): 4391 (2021) - [c5]Xue-bo Jin, Jia-hui Zhang, Tingli Su, Jian-Lei Kong, Yuting Bai:
Deep Fusion Predictive Modeling Based on Noise Analysis. ICCAIS 2021: 135-140 - 2020
- [j15]Xue-Bo Jin, Hong-Xing Wang, Xiaoyi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong:
Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization. Complex. 2020: 4346803:1-4346803:14 (2020) - [j14]Xue-Bo Jin, Nian-Xiang Yang, Xiaoyi Wang, Yuting Bai, Ting-Li Su, Jian-Lei Kong:
Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model. Sensors 20(5): 1334 (2020)
2010 – 2019
- 2019
- [j13]Yang-Yang Zheng, Jian-Lei Kong, Xue-Bo Jin, Xiaoyi Wang, Ting-Li Su, Jian-Li Wang:
Probability Fusion Decision Framework of Multiple Deep Neural Networks for Fine-Grained Visual Classification. IEEE Access 7: 122740-122757 (2019) - [j12]Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jian-Lei Kong, Yutian Lu:
Compound Autoregressive Network for Prediction of Multivariate Time Series. Complex. 2019: 9107167:1-9107167:11 (2019) - [j11]Ai-Qiang Yang, Xing-Hong Yu, Ting-Li Su, Xue-bo Jin, Jian-Lei Kong:
Broad learning system for human activity recognition using sensor data. Int. J. Comput. Appl. Technol. 61(4): 259-264 (2019) - [j10]Yang-Yang Zheng, Jian-Lei Kong, Xue-Bo Jin, Xiaoyi Wang, Ting-Li Su, Min Zuo:
CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture. Sensors 19(5): 1058 (2019) - 2018
- [j9]Binbin Wang, Ting-Li Su, Xue-bo Jin, Jian-Lei Kong, Yu-Ting Bai:
3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition. Complex. 2018: 8735846:1-8735846:10 (2018) - [j8]Thomas Jaki, Ting-Li Su, Minjung Kim, M. Lee Van Horn:
An evaluation of the bootstrap for model validation in mixture models. Commun. Stat. Simul. Comput. 47(4): 1028-1038 (2018) - [j7]Shengkai Liu, Ting-Li Su, Binbin Wang, Shiyu Peng, Xue-bo Jin, Yu-Ting Bai, Dou Chao:
Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusion. Int. J. Model. Identif. Control. 30(4): 261-272 (2018) - [j6]Jian-Lei Kong, Zhen-ni Wang, Xue-bo Jin, Xiaoyi Wang, Ting-Li Su, Jian-Li Wang:
Semi-Supervised Segmentation Framework Based on Spot-Divergence Supervoxelization of Multi-Sensor Fusion Data for Autonomous Forest Machine Applications. Sensors 18(9): 3061 (2018) - 2017
- [j5]Shenglun Yi, Xue-bo Jin, Ting-Li Su, Zhen-Yun Tang, Fa-Fa Wang, Na Xiang, Jian-Lei Kong:
Online Denoising Based on the Second-Order Adaptive Statistics Model. Sensors 17(7): 1668 (2017) - 2016
- [j4]Xue-bo Jin, Dou Chao, Ting-Li Su, Xiao-fen Lian, Shi Yan:
Parallel Irregular Fusion Estimation Based on Nonlinear Filter for Indoor RFID Tracking System. Int. J. Distributed Sens. Networks 12(5): 1472930:1-1472930:11 (2016) - [j3]Benjamin Brown, Sudeh Cheraghi-Sohi, Thomas Jaki, Ting-Li Su, Iain E. Buchan, Matthew Sperrin:
Understanding clinical prediction models as 'innovations': a mixed methods study in UK family practice. BMC Medical Informatics Decis. Mak. 16: 106 (2016) - [j2]Yu-Ting Bai, Baihai Zhang, Xiaoyi Wang, Xue-Bo Jin, Jiping Xu, Ting-Li Su, Zhao-Yang Wang:
A Novel Group Decision-Making Method Based on Sensor Data and Fuzzy Information. Sensors 16(11): 1799 (2016) - 2014
- [c4]Wei Wei, Yingcai Dong, Tingli Su, Min Zuo, Junping Du:
Sliding mode and active disturbance rejection compound synchronization for Hindmarsh-Rose neural networks. CCIS 2014: 651-655 - 2012
- [j1]Tingli Su, Stefano Longo, Guido Herrmann, Phil Barber:
Computation of an optimal communication schedule in a nonlinear networked control system using sum-of-squares. Syst. Control. Lett. 61(3): 387-396 (2012) - [c3]Tingli Su, Stefano Longo, Jing Na, Guido Herrmann, Ningjun Fan:
Concept for hybrid optimization for schedule design in nonlinear networked control. ISIE 2012: 1840-1845 - [c2]Tingli Su, Stefano Longo, Jing Na, Guido Herrmann, Ningjun Fan:
Robustness-verification in networked control systems via sum-of-square approach. ISIE 2012: 1852-1857 - 2011
- [c1]Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber, Uwe Gerlinger:
Scheduling of the FlexRay static segment for robust controller integration. CCA 2011: 1487-1492
Coauthor Index
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last updated on 2024-07-09 04:25 CEST by the dblp team
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