INCREASING THE ROBUSTNESS OF CLASSIFICATION ALGORITHMS TO QUANTIFY LEAKS THROUGH OPTIMIZATION
<p>Leaks in water pipeline networks have cost billions of dollars each year. Robust leak quantification (to detect and to localize) methods are needed to minimize the lost. We quantify leaks by classifying their locations using machine learning algorithms, namely Support Vector Machine and C4....
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| Format: | Article |
| Language: | English |
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Institut Teknologi Sepuluh Nopember
2020-01-01
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| Series: | JUTI: Jurnal Ilmiah Teknologi Informasi |
| Online Access: | http://juti.if.its.ac.id/index.php/juti/article/view/841 |