Overview of smart sensors based on machine learning
With the rapid development of machine learning, intelligent models created by machine learning algorithms are gradually becoming the core part of new sensor data analysis. The paper firstly introduces the background of intelligent sensors that support machine learning, briefly describes the construction of intelligent models and the generation, verification and testing process of data sets, then lists the application of intelligent sensors based on machine learning, finally points out the current problems and challenges of intelligent sensors based on machine learning and puts forward feasible solutions to provide valuable academic reference for relevant researchers.
Institutions
- Petroleum University of Technology (IR)
- China University of Petroleum, Beijing (CN)
- Ministry of Natural Resources (RW)
- Haier Group (China) (CN)
- Ocean University of China (CN)
Publication Details
- Journal
- SHILAP Revista de lepidopterología
- Published
- 2025-03-01
- DOI
- https://doi.org/10.16157/j.issn.0258-7998.245715
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00