首页|Research Conducted at School of Mechanical Sciences Has Updated Our Knowledge ab out Machine Learning (Machine Learning Based Tool for the Efficient Estimation o f Geometric Features of Aggregated Aerosol Particles)

Research Conducted at School of Mechanical Sciences Has Updated Our Knowledge ab out Machine Learning (Machine Learning Based Tool for the Efficient Estimation o f Geometric Features of Aggregated Aerosol Particles)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Goa, India, by NewsRx correspondents, research stated, “While significantprogress h as been made in developing models for the formation and transport of aerosol agg regates, thereis still a need for a simple, versatile tool capable of estimatin g intrinsic properties of aggregated particles.Scalar friction factor is an imp ortant parameter used extensively in the field of aerosol science.”

GoaIndiaAsiaCyborgsEmerging Tech nologiesMachine LearningSchool of Mechanical Sciences

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.13)