Data from University of Electronic Science and Technology of China Broaden Under standing of Support Vector Machines (Interpretable PCA and SVM-Based Leak Detect ion Algorithm for Identifying Water Leakage Using SAR-Derived Moisture Content a nd ...)

Robotics & Machine Learning Daily News2024，Issue(Sep.24) ：6-6.

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Data from University of Electronic Science and Technology of China Broaden Under standing of Support Vector Machines (Interpretable PCA and SVM-Based Leak Detect ion Algorithm for Identifying Water Leakage Using SAR-Derived Moisture Content a nd ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on support vector machines are present ed in a new report. According to news reporting out of Chengdu, People’s Republi c of China, by NewsRx editors, research stated, “The sewer/water leakage has bec ome a worldwide concern.” Funders for this research include National Natural Science Foundation of China.

Key words

University of Electronic Science and Tec hnology of China/Chengdu/People’s Republic of China/Asia/Algorithms/Machine Learning/Support Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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