Different Machine Learning Approaches to predict Gas Deviation Factor (Z-factor)

Monitoring Corrosion Defects in Oil Pipelines.

DEVELOPMENT INTELLIGENT PREDICTION MODELS FOR EARNED VALUE INDICATORS IN WASTEWATER TREATMENT PLANTS PROJECTS

Numerical and Experimental Investigations of Leak Detection in Single Branched Pipeline System

LEAK DETECTION AND LOCALIZATION OF THE PIPELINE SYSTEMS

Development of new models for predicting crude oil bubble point pressure, oil formation volume factor, and solution gas-oil ratio using genetic algorithm

A Proposed Performance Prediction Approach for Manufacturing Process Using Artifical Neural Networks.

Hybrid computing models to predict oil formation volume factor using multilayer perceptron algorithm

Prediction of geotechnical properties of deltaic clays by using regression analysis models

Infiltration from Buried Pipes in Unsaturated Soils.