Aixiang He

Orcid: 0009-0001-6320-3206

According to our database1, Aixiang He authored at least 13 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
A Spatiotemporal Correlation-Based Data Recovery Method for Improving the Performance of Electronic Noses.
IEEE Trans. Instrum. Meas., 2025

2024
Text Sentiment Analysis of Douban Film Short Comments Based on BERT-CNN-BiLSTM-Att Model.
IEEE Access, 2024

A Novel TimesNet Based Electronic Nose Data Recovery Method.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

Study on Course Group based on Clustering Algorithm and Association Rules.
Proceedings of the 2024 7th International Conference on Software Engineering and Information Management, 2024

Digital Logic Circuit Curriculum Reform Based on "Knowledge, Competence, and Value".
Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education, 2024

2023
1D CNN-LSTM Based Electronic Nose Algorithm for Disinfectant Concentration Detection.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Review on Sentiment Analysis of E-commerce Product Comments.
Proceedings of the 15th IEEE International Conference on Advanced Infocomm Technology, 2023

2020
A novel hybrid feature selection method based on dynamic feature importance.
Appl. Soft Comput., 2020

2019
Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses.
Sensors, 2019

A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors.
Sensors, 2019

2017
A Novel Dictionary Learning Method for Gas Identification With a Gas Sensor Array.
IEEE Trans. Ind. Electron., 2017

2016
Short-Time Fourier Transform and Decision Tree-Based Pattern Recognition for Gas Identification Using Temperature Modulated Microhotplate Gas Sensors.
J. Sensors, 2016

A Method for Selecting Optimal Number of Sensors to Improve the Credibility.
J. Sensors, 2016


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