Yining Yang
Orcid: 0000-0002-8302-6884
According to our database1,
Yining Yang
authored at least 17 papers
between 2020 and 2024.
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Bibliography
2024
Estimation of the Living Vegetation Volume (LVV) for Individual Urban Street Trees Based on Vehicle-Mounted LiDAR Data.
Remote. Sens., May, 2024
Expert Syst. Appl., 2024
Data Augmented of Mechanical Fault Sound Signal based on Generative Adversarial Networks.
Period. Polytech. Electr. Eng. Comput. Sci., 2024
Research on Optimization of Natural Language Processing Model Based on Multimodal Deep Learning.
CoRR, 2024
Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network.
CoRR, 2024
Unconditional analysis of the linearized second-order time-stepping scheme combined with a mixed element method for a nonlinear time fractional fourth-order wave equation.
Comput. Math. Appl., 2024
Line Loss Anomaly Perception Method Based on MIC-IF Algorithm for Photovoltaic Low-Voltage Transformer Area.
IEEE Access, 2024
2023
Structure-preserving BDF2 FE method for the coupled Schrödinger-Boussinesq equations.
Numer. Algorithms, July, 2023
Multi-output physics-informed neural network for one- and two-dimensional nonlinear time distributed-order models.
Networks Heterog. Media, 2023
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
2022
A Detection Method for Group Fixed Ratio Electricity Thieves Based on Correlation Analysis of Non-Technical Loss.
IEEE Access, 2022
Multi-label co-occurrence network for stealing electricity type detection and research on forensics sequence rules.
Proceedings of the 5th International Conference on Algorithms, 2022
2021
IEEE Access, 2021
Detection of Electric Power Theft Behavior Based on BP Neural Network Optimized by L-M Algorithm.
Proceedings of the Cyber Security Intelligence and Analytics, 2021
2020
Characteristics of Electricity Consumption of Typical Industrial Loads Based on Power Data Analysis.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
Effects of Region Features on the Accuracy of Cross-database Facial Expression Recognition.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020