Neri Project 99-119. Task 2. Data-driven Prediction of Process Variables. Final Report

Nuclear Energy Research Initiative (NERI) Final Scientific/Technical Report “Developing Improved Structural Materials using Proton Irradiation as a Rapid Analysis Tool” Project IWO # M2SF 02-110 Project No. 99-0155 Submitted by: Lead Organization: Argonne National Laboratory

A Simulation Based of Setting Policy in Project Acceptance Based on Experiences in Project-Driven SME's

The acceptance of the right project which leads to the realization of the set objectives is one of the most important issues in project-oriented companies. Therefore, corporate managers prefer to work on those projects which ensures the achievement of goals such as increasing financial profits or being the top brands in their rivals market. The present  research aimed at introducing  a systemat...

Prediction of potential habitat distribution of Artemisia sieberi Besser using data-driven methods in Poshtkouh rangelands of Yazd province

The present study aimed to model potential habitat distribution of A. sieberi, and its ecological requirements using generalized additive model (GAM) and classification and regression tree (CART) in in the Poshtkouh rangelands of Yazd province. For this purpose, pure habitats of the species was delineated and the species presence data was recorded by the systematic-randomize sampling method. Us...

Experimental and Neural Network Prediction of Elongation and Spread after First Stage of Fullering

Fullering process is a type of open die forging. In this research, elongation and maximum sideways spread in final shape of a billet after the first blow of a fullering process are predicted by designing a back propagation multilayer perceptron neural network. Several experiments are conducted using lead as the model material. Billets with three different square cross-sections are used in these...

Personal Credit Score Prediction using Data Mining Algorithms (Case Study: Bank Customers)

Knowledge and information extraction from data is an age-old concept in scientific studies. In industrial decision-making processes, the application of this concept gives rise to data-mining opportunities. Personal credit scoring is an ever-vital tool for banking systems in order to manage and minimize the inherent risks of the financial sector, thus, the design and improvement of credit scorin...