artificial neural networks

The emergency department (ED) provides medical care to a variety of patients with different ailments, acuity levels and various "chief complaints". While most ED patients are discharged after receiving treatment, some will be admitted to the hospital's units. The objective of th…

In this research study, an attempt is made to address limitations in soil stabilization. Incorporation of the clay mineralogy aspects of the soils into the stabilization design process was first addressed, followed by durability studies to address the long-term effectiveness of …

Transportation networks of highway bridges are considered the lifelines of a community’s infrastructure as they play a significant role in joining communities and serving as the first outlet during a calamity such as earthquakes. They are expected to sustain minor damage and mai…

Reserve estimation is an essential part of developing any reservoir. Predicting the long-term production performance and estimated ultimate recovery (EUR) in unconventional wells has always been a challenge. Developing a reliable and accurate production forecast in the oil and g…

A new methodology was developed for flow regime identification in pipes. The method utilizes the pattern recognition abilities of Artificial Neural Networks and the unprocessed time series of a system-monitoring-signal. The methodology was tested with synthetic data from a conce…