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International Journal of Environmental Research and Public Health
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August 9, 2020
An Acceleration Based Fusion of Multiple Spatiotemporal Networks for Gait Phase Detection
Tao Zhen, Lei Yan, Jian-Lei Kong
International Journal of Environmental Research and Public Health
|
March 29, 2023
A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation
Xin Xu, Cheng-Cai Yang, Yang Xiao, et al.
Sensors (Basel, Switzerland)
|
July 2, 2021
Multi-Channel Fusion Classification Method Based on Time-Series Data
Xue-Bo Jin, Aiqiang Yang, Tingli Su, et al.
Sensors (Basel, Switzerland)
|
March 6, 2019
CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture
Yang-Yang Zheng, Jian-Lei Kong, Xue-Bo Jin, et al.
Frontiers in Neurorobotics
|
June 30, 2023
Location estimation based on feature mode matching with deep network models
Yu-Ting Bai, Wei Jia, Xue-Bo Jin, et al.
Entropy (Basel, Switzerland)
|
November 26, 2025
AttSCNs: A Bayesian-Optimized Hybrid Model with Attention-Guided Stochastic Configuration Networks for Robust GPS Trajectory Prediction
Xue-Bo Jin, Ye-Qing Wang, Jian-Lei Kong, et al.
Entropy (Basel, Switzerland)
|
March 25, 2022
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Xue-Bo Jin, Wen-Tao Gong, Jian-Lei Kong, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods
Xue-Bo Jin, Ruben Jonhson Robert Jeremiah, Ting-Li Su, et al.
Sensors (Basel, Switzerland)
|
October 28, 2023
Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System
Xue-Bo Jin, Wei Chen, Hui-Jun Ma, et al.
Computational Intelligence and Neuroscience
|
July 8, 2021
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting
Xue-Bo Jin, Jia-Hui Zhang, Ting-Li Su, et al.
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Search research articles
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Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
International Journal of Environmental Research and Public Health
|
August 9, 2020
An Acceleration Based Fusion of Multiple Spatiotemporal Networks for Gait Phase Detection
Tao Zhen, Lei Yan, Jian-Lei Kong
International Journal of Environmental Research and Public Health
|
March 29, 2023
A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation
Xin Xu, Cheng-Cai Yang, Yang Xiao, et al.
Sensors (Basel, Switzerland)
|
July 2, 2021
Multi-Channel Fusion Classification Method Based on Time-Series Data
Xue-Bo Jin, Aiqiang Yang, Tingli Su, et al.
Sensors (Basel, Switzerland)
|
March 6, 2019
CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture
Yang-Yang Zheng, Jian-Lei Kong, Xue-Bo Jin, et al.
Frontiers in Neurorobotics
|
June 30, 2023
Location estimation based on feature mode matching with deep network models
Yu-Ting Bai, Wei Jia, Xue-Bo Jin, et al.
Entropy (Basel, Switzerland)
|
November 26, 2025
AttSCNs: A Bayesian-Optimized Hybrid Model with Attention-Guided Stochastic Configuration Networks for Robust GPS Trajectory Prediction
Xue-Bo Jin, Ye-Qing Wang, Jian-Lei Kong, et al.
Entropy (Basel, Switzerland)
|
March 25, 2022
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Xue-Bo Jin, Wen-Tao Gong, Jian-Lei Kong, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods
Xue-Bo Jin, Ruben Jonhson Robert Jeremiah, Ting-Li Su, et al.
Sensors (Basel, Switzerland)
|
October 28, 2023
Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System
Xue-Bo Jin, Wei Chen, Hui-Jun Ma, et al.
Computational Intelligence and Neuroscience
|
July 8, 2021
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting
Xue-Bo Jin, Jia-Hui Zhang, Ting-Li Su, et al.
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of 2