首页|Reports Outline Machine Learning Study Results from Tongji University (Applying Machine Learning To Fine Classify Construction and Demolition Waste Based On Dee p Residual Network and Knowledge Transfer)
Reports Outline Machine Learning Study Results from Tongji University (Applying Machine Learning To Fine Classify Construction and Demolition Waste Based On Dee p Residual Network and Knowledge Transfer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating from Shanghai, People’ s Republic of China, by NewsRx correspondents, research stated, “Few studies rep orted using the convolutional neural network with transfer learning to finely cl assify the construction and demolition waste. This study aims to develop a highl y efficient method to realize the finely sorting the construction and demolition waste, which is a key step for promoting the recycling system to realize carbon neutrality in the waste management sector.” Financial supporters for this research include National Key RAMP;D Program of Ch ina, National Natural Science Foundation of China (NSFC), Shanghai Municipal Sci ence and Technology Major Project, Fundamental Research Funds for the Central Un iversities, International Postdoctoral Exchange Fellowship Program.
ShanghaiPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningTongji University
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