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Optimized Rehabilitation of Water Pipe Networks Subjected to Earthquakes
(2019-08-27)
Earthquakes in the past and in the recent times have demonstrated the extreme vulnerability of the water pipe networks. The impacts of such earthquakes on the water supply network can lead to significant direct and indirect ...
NORMALIZED CUT PROBLEMS WITH GENERALIZED LINEAR CONSTRAINTS
(2019-08-30)
Several methods are used to process images in many fields, including clustering, image segmentation and medical imaging. The so-called graph-cut methods in graph theory are widely used for image segmentation. In these ...
Optimized Rehabilitation of Water Pipe Networks Subjected to Earthquakes
(2019-08-27)
Earthquakes in the past and in the recent times have demonstrated the extreme vulnerability of the water pipe networks. The impacts of such earthquakes on the water supply network can lead to significant direct and indirect ...
Deep Representation Learning for Clustering and Domain Adaptation
(2019-12-05)
Representation learning is a fundamental task in the area of machine learning which can significantly influence the performance of the algorithms used in various applications. The main goal of this task is to capture the ...