An artificial neural network approach on crystal plasticity for material modelling in macroscopic simulations

An integrated data envelopment analysis–artificial neural network approach for benchmarking of bank branches

Efficiency and quality of services are crucial to today’s banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more attention these days. Even though data envelopment analysis (DEA) is a pioneer approach in the literature as of an efficiency measurement...

Macroscopic Modeling of Freeway Traffic Using an Artificial Neural Network

Institute of Transportation Studies, University of California, Irvine, Calif. 92717. Traffic flow on freeways is a complex process that often is described by a set of highly nonlinear, dynamic equations in the form of a macroscopic traffic flow model. However, some of the existing macroscopic models have been found to exhibit instabilities in their behavior and often do not track real traffic d...

Drilling Stuck Pipe Prediction in Iranian Oil Fields: An Artificial Neural Network Approach

An Approach Based on Artificial Neural Network for Data Deduplication

Data quality problems arise with the constantly increasing quantity of data. The quality of data stored in realworld databases are assured by the vital data cleaning process. Several research fields like knowledge discovery in databases, data warehousing, system integration and eservices often encounter data cleaning problems. The fundamental element of data cleaning is usually termed as dedupl...

A diagnostic model for cirrhosis in patients with non-alcoholic fatty liver disease: an artificial neural network approach

  Background :Timely diagnosis of liver cirrhosis is vital for preventing further liver damage and giving the patient the chance of transplantation. Although biopsy of the liver is the gold standard for cirrhosis assessment, it has some risks and limitations and this has led to the development of new noninvasive methods to determine the stage and prognosis of the patients. We aimed to design an...