Yuting Bai
Orcid: 0000-0001-8047-1010Affiliations:
- Beijing Technology and Business University, Beijing, China
According to our database1,
Yuting Bai
authored at least 35 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
AMNet: a new RGB-D instance segmentation network based on attention and multi-modality.
Vis. Comput., February, 2024
Exploring the pharmacological mechanism of Artemisia annua herba based on network pharmacology.
Int. J. Data Min. Bioinform., 2024
A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting.
Eng. Appl. Artif. Intell., 2024
Fuzzy adaptive-normalized deep encoder-decoder network: Medium and long-term predictor of temperature and humidity in smart greenhouses.
Comput. Electron. Agric., 2024
SpaGIC: graph-informed clustering in spatial transcriptomics via self-supervised contrastive learning.
Briefings Bioinform., 2024
2023
AdaHOSVD: an adaptive higher-order singular value decomposition method for point cloud denoising.
Pattern Anal. Appl., November, 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
Annu. Rev. Control., January, 2023
Int. J. Intell. Syst., 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
A Hybrid Multi-Target Path Planning Algorithm for Unmanned Cruise Ship in an Unknown Obstacle Environment.
Sensors, 2022
Continuous Positioning with Recurrent Auto-Regressive Neural Network for Unmanned Surface Vehicles in GPS Outages.
Neural Process. Lett., 2022
Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems.
Expert Syst. Appl., 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
2021
Sensors, 2021
Parallel deep prediction with covariance intersection fusion on non-stationary time series.
Knowl. Based Syst., 2021
Int. J. Data Min. Bioinform., 2021
Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy.
Entropy, 2021
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting.
Comput. Intell. Neurosci., 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
Complex., 2020
Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization.
Complex., 2020
2019
IEEE Syst. J., 2019
Sensors, 2019
Complex., 2019
2018
Int. J. Model. Identif. Control., 2018
3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition.
Complex., 2018
Cooperative Localization With Bounding Constraints in Mobile Wireless Sensor Networks.
IEEE Access, 2018
2016
Sensors, 2016