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

by Tao Zhen, Lei Yan, Jian-lei Kong
Published 2020-08-01

Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition

by Tao Zhen, Jian-lei Kong, Lei Yan
Published 2020-01-01

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

by Xue-Bo Jin, Aiqiang Yang, Tingli Su, Jian-Lei Kong, Yuting Bai
Published 2021-06-01

Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network

by Lei Yan, Tao Zhen, Jian-Lei Kong, Lian-Ming Wang, Xiao-Lei Zhou
Published 2020-01-01

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

by Yang-Yang Zheng, Jian-Lei Kong, Xue-Bo Jin, Xiao-Yi Wang, Min Zuo
Published 2019-03-01

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

by Xue-Bo Jin, Ruben Jonhson RobertJeremiah, Ting-Li Su, Yu-Ting Bai, Jian-Lei Kong
Published 2021-03-01

State-of-the-Art Mobile Intelligence: Enabling Robots to Move Like Humans by Estimating Mobility with Artificial Intelligence

by Xue-Bo Jin, Ting-Li Su, Jian-Lei Kong, Yu-Ting Bai, Bei-Bei Miao, Dou Chao
Published 2018-03-01

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization

by Xue-Bo Jin, Hong-Xing Wang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong
Published 2020-01-01

Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction

by Xue-Bo Jin, Nian-Xiang Yang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong
Published 2020-02-01

Deep Learning Predictor for Sustainable Precision Agriculture Based on Internet of Things System

by Xue-Bo Jin, Xing-Hong Yu, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong
Published 2020-02-01

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

by Xue-Bo Jin, Nian-Xiang Yang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong
Published 2020-02-01

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

by Jian-lei Kong, Zhen-ni Wang, Xue-bo Jin, Xiao-yi Wang, Ting-li Su, Jian-li Wang
Published 2018-09-01

Probability Fusion Decision Framework of Multiple Deep Neural Networks for Fine-Grained Visual Classification

by Yang-Yang Zheng, Jian-Lei Kong, Xue-Bo Jin, Xiao-Yi Wang, Ting-Li Su, Jian-Li Wang
Published 2019-01-01

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

by Xue-Bo Jin, Jia-Hui Zhang, Ting-Li Su, Yu-Ting Bai, Jian-Lei Kong, Xiao-Yi Wang
Published 2021-01-01

Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse

by Xue-Bo Jin, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Min Zuo, Qing-Chuan Zhang, Seng Lin
Published 2021-08-01

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

by Xue-Bo Jin, Xing-Hong Yu, Ting-Li Su, Dan-Ni Yang, Yu-Ting Bai, Jian-Lei Kong, Li Wang
Published 2021-02-01

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

by Yu-ting Bai, Xiao-yi Wang, Qian Sun, Xue-bo Jin, Xiao-kai Wang, Ting-li Su, Jian-lei Kong
Published 2019-10-01

Online Denoising Based on the Second-Order Adaptive Statistics Model

by Sheng-Lun Yi, Xue-Bo Jin, Ting-Li Su, Zhen-Yun Tang, Fa-Fa Wang, Na Xiang, Jian-Lei Kong
Published 2017-07-01

Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

by Xue-Bo Jin, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Seng Lin
Published 2021-03-01