首页|Investigators from Northeastern University Target Machine Learning (Machine Lear ning-assisted Research and Development of Chemiresistive Gas Sensors)

Investigators from Northeastern University Target Machine Learning (Machine Lear ning-assisted Research and Development of Chemiresistive Gas Sensors)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Shenyang, People’s Re public of China, by NewsRx editors, research stated, “The traditionaltrial-and- error testing to develop high-performance chemiresistive gas sensors is ineffici ent and fails tomeet the high demand for sensors in various industries. Machine learning (ML) can address the limitationsof trial-and-error testing and can be effectively utilized for enhancing, developing, and designing sensors.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Fundamental Research Funds for the Central Universities in C hina, Ministry of Education, China - 111Project, Natural Science Foundation of Hebei Province.

ShenyangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNortheastern University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.28)