drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. identification of resistant phenotype is very important because it can lead to effective treatment plan. there is an interest in developing classifying models of resistance phenotype based on the multivariate data. we have investigated a vibrational spectroscopic approach in order to characterize a sen...

variations in biochemical features are extensive among cells. identification of marker that is specific for each cell is essential for following the differentiation of stem cell and metastatic growing. fourier transform infrared spectroscopy (ftir) as a biochemical analysis more focused on diagnosis of cancerous cells. in this study, commercially obtained cell lines such as human ovarian carcin...

In this paper we propose a new algorithm for face recognition named as Double Linear Discriminate Analysis (DLDA) in which we combine two linear discriminate methods: 2D-LDA and Fisher-face sequentially. Experimental results on benchmark face datasets show that DLDA not only achieves the best performance when the number of training samples is appropriate, but also its speed is the fastest among...

bankruptcy anticipation is a phenomenon which has been increasingly favored by investors, banks and financial and credit institutes. since the potential signs of bankruptcy would be understood a few months before the real appearance of it, so the timely and accurate anticipation of this crisis will give the opportunity to managers and creditors in order to adopt preventable activities. the aim ...

INTELLIGENT defect detection has become one of the most challenging scientific industrial course in recent years. models were developed to determine surface-breaking defects along the applied field when using the magnetic flux leakage (MFL) non-destructive technique. The theoretical model fits the experimental MFL results from simulated defects. For MFL sensors, the normal magnetic leakage fiel...

Data Envelopment Analysis (DEA) cannot provide adequate discrimination among efficient decision making units (DMUs). To discriminate these efficient DMUs is an interesting research subject. The purpose of this paper is to develop the mix integer linear model which was proposed by Foroughi (Foroughi A.A. A new mixed integer linear model for selecting the best decision making units in data envelo...