An Acceleration Based Fusion of Multiple Spatiotemporal Networks for Gait Phase Detection

por Zhen, Tao, Yan, Lei, Kong, Jian-lei
Publicado 2020

A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation

por Xu, Xin, Yang, Cheng-Cai, Xiao, Yang, Kong, Jian-Lei
Publicado 2023

Multi-Channel Fusion Classification Method Based on Time-Series Data

por Jin, Xue-Bo, Yang, Aiqiang, Su, Tingli, Kong, Jian-Lei, Bai, Yuting
Publicado 2021

Location estimation based on feature mode matching with deep network models

por Bai, Yu-Ting, Jia, Wei, Jin, Xue-Bo, Su, Ting-Li, Kong, Jian-Lei
Publicado 2023

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting

por Jin, Xue-Bo, Gong, Wen-Tao, Kong, Jian-Lei, Bai, Yu-Ting, Su, Ting-Li
Publicado 2022

The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods

por Jin, Xue-Bo, Robert Jeremiah, Ruben Jonhson, Su, Ting-Li, Bai, Yu-Ting, Kong, Jian-Lei
Publicado 2021

Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System

por Jin, Xue-Bo, Chen, Wei, Ma, Hui-Jun, Kong, Jian-Lei, Su, Ting-Li, Bai, Yu-Ting
Publicado 2023

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

por Zheng, Yang-Yang, Kong, Jian-Lei, Jin, Xue-Bo, Wang, Xiao-Yi, Su, Ting-Li, Zuo, Min
Publicado 2019

Semi-Supervised Segmentation Framework Based on Spot-Divergence Supervoxelization of Multi-Sensor Fusion Data for Autonomous Forest Machine Applications

por Kong, Jian-lei, Wang, Zhen-ni, Jin, Xue-bo, Wang, Xiao-yi, Su, Ting-li, Wang, Jian-li
Publicado 2018

Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model

por Jin, Xue-Bo, Yang, Nian-Xiang, Wang, Xiao-Yi, Bai, Yu-Ting, Su, Ting-Li, Kong, Jian-Lei
Publicado 2020

Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting

por Jin, Xue-Bo, Zhang, Jia-Hui, Su, Ting-Li, Bai, Yu-Ting, Kong, Jian-Lei, Wang, Xiao-Yi
Publicado 2021

Online Denoising Based on the Second-Order Adaptive Statistics Model

por Yi, Sheng-Lun, Jin, Xue-Bo, Su, Ting-Li, Tang, Zhen-Yun, Wang, Fa-Fa, Xiang, Na, Kong, Jian-Lei
Publicado 2017

Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network

por Bai, Yu-ting, Wang, Xiao-yi, Sun, Qian, Jin, Xue-bo, Wang, Xiao-kai, Su, Ting-li, Kong, Jian-lei
Publicado 2019

Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy

por Jin, Xue-Bo, Yu, Xing-Hong, Su, Ting-Li, Yang, Dan-Ni, Bai, Yu-Ting, Kong, Jian-Lei, Wang, Li
Publicado 2021

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction

por Jin, Xue-Bo, Wang, Zhong-Yao, Kong, Jian-Lei, Bai, Yu-Ting, Su, Ting-Li, Ma, Hui-Jun, Chakrabarti, Prasun
Publicado 2023