首页|Studies from School of Civil Engineering in the Area of Machine Learning Describ ed (A Novel Method for Predicting Coarse Aggregate Particle Size Distribution Ba sed On Segment Anything Model and Machine Learning)

Studies from School of Civil Engineering in the Area of Machine Learning Describ ed (A Novel Method for Predicting Coarse Aggregate Particle Size Distribution Ba sed On Segment Anything Model and Machine Learning)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Changsha, People’s Re public of China, by NewsRx journalists, research stated, “Particle size distribu tion (PSD) is an important index property of granular materials. The conventiona l mechanical sieve analysis for PSD determination is labor-intensive, time-consu ming, and inefficient.” Financial supporters for this research include National Science Fund for Disting uished Young Scholars, National Natural Science Foundation of China (NSFC), Nati onal Key R & D Program of China, Key R & D Program o f Chinese Academy of Railway Sciences, Open Foundation of MOE Key Laboratory of Engineering Structures of Heavy Haul Railway (Central South University), Fundame ntal Research Funds for the Central Universities of Central South University, Ch ina.

ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesEngineeringMachine LearningSchool of Civ il Engineering

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.27)