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Overview of smart sensors based on machine learning

Year: 2025

Type: article

Abstract: 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.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.16157/j.issn.0258-7998.245715

Authors: Wang Shuaida, Lin Guanying, Wang Nuansheng, Li Yang, Yin Meihua

Institutions: Ocean University of China, Ministry of Natural Resources, Ministry of Natural Resources, Qingdao Haici Medical Group, China University of Petroleum, Beijing

Language: English

Topic: Sensor Technology and Measurement Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6943644005

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