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A Hybrid Intelligent Approach for Metal-Loss Defect Depth Prediction in Oil and Gas Pipelines
Intelligent Systems and Applications
Springer, Cham, January 2016
Abduljalil Mohamed, Mohamed Salah Hamdi, Sofiène Tahar
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||4||44%|
|Readers by discipline||Count||As %|
|Physics and Astronomy||1||11%|