Yuting Bai

Orcid: 0000-0001-8047-1010

Affiliations:
  • Beijing Technology and Business University, Beijing, China


According to our database1, Yuting Bai authored at least 31 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

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

Location estimation based on feature mode matching with deep network models.
Frontiers Neurorobotics, June, 2023

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction.
Entropy, February, 2023

State of art on state estimation: Kalman filter driven by machine learning.
Annu. Rev. Control., January, 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
Multi-Channel Fusion Classification Method Based on Time-Series Data.
Sensors, 2021

The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods.
Sensors, 2021

Parallel deep prediction with covariance intersection fusion on non-stationary time series.
Knowl. Based Syst., 2021

Diagnostic and prognostic value of HSPD1 in oesophageal cancer.
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

Deep Fusion Predictive Modeling Based on Noise Analysis.
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

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model.
Sensors, 2020

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making.
Complex., 2020

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization.
Complex., 2020

2019
Improvements of Multihop Localization Algorithm for Wireless Sensor Networks.
IEEE Syst. J., 2019

Hard Decision-Based Cooperative Localization for Wireless Sensor Networks.
Sensors, 2019

Compound Autoregressive Network for Prediction of Multivariate Time Series.
Complex., 2019

2018
Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusion.
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
A Novel Group Decision-Making Method Based on Sensor Data and Fuzzy Information.
Sensors, 2016


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