Jian-Lei Kong
Orcid: 0000-0002-0074-3467
According to our database1,
Jian-Lei Kong
authored at least 32 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer.
Inf. Fusion, March, 2024
2023
Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System.
Sensors, October, 2023
Frontiers Neurorobotics, June, 2023
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction.
Entropy, February, 2023
A Decimal Scaling Normalization Encoder-Decoder Deep Network for Modeling in the Nonlinear Systems.
Proceedings of the 5th International Conference on Robotics, 2023
2022
Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series.
Entropy, 2022
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting.
Entropy, 2022
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework.
CoRR, 2022
2021
Sensors, 2021
Parallel deep prediction with covariance intersection fusion on non-stationary time series.
Knowl. Based Syst., 2021
Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy.
Entropy, 2021
Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems.
Comput. Intell. Neurosci., 2021
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting.
Comput. Intell. Neurosci., 2021
Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture.
Comput. Electron. Agric., 2021
Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes.
Algorithms, 2021
Proceedings of the 2021 International Conference on Control, 2021
2020
Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model.
Sensors, 2020
Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition.
Complex., 2020
Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network.
Complex., 2020
Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization.
Complex., 2020
2019
CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture.
Sensors, 2019
Int. J. Comput. Appl. Technol., 2019
Complex., 2019
Probability Fusion Decision Framework of Multiple Deep Neural Networks for Fine-Grained Visual Classification.
IEEE Access, 2019
2018
Semi-Supervised Segmentation Framework Based on Spot-Divergence Supervoxelization of Multi-Sensor Fusion Data for Autonomous Forest Machine Applications.
Sensors, 2018
3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition.
Complex., 2018
2017
2015
A novel stumpage detection method for forest harvesting based on multi-sensor fusion.
Signal Image Video Process., 2015
New Hybrid Algorithms for Estimating Tree Stem Diameters at Breast Height Using a Two Dimensional Terrestrial Laser Scanner.
Sensors, 2015
2013
Improved Accurate Extrinsic Calibration Algorithm of Camera and Two-dimensional Laser Scanner.
J. Multim., 2013
J. Multim., 2013