Mehmet Umut Demircin

Machine Learning Approach to Distributed Acoustic Sensors (DAS) for Securing Pipelines in Urban Areas

Machine Learning Approach to Distributed Acoustic Sensors (DAS) for Securing Pipelines in Urban Areas
Machine Learning Approach to Distributed Acoustic Sensors (DAS) for Securing Pipelines in Urban Areas
Third party interference is one of the leading causes of pipeline failures and accidents that create great risk for safety and environment, as well as revenue loss for the operators. Especially in urban areas unauthorized and uncoordinated infrastructure and construction works pose serious threat to liquid and gas pipelines. Effective detection of...