Thirty-one varieties of wheat cultivated in Romania were analyzed regarding the genetic diversity and physicochemical properties, including following determinations: moisture, ash, protein, wet gluten, lipid, starch content, falling number damaged starch, considering particularity each species, its biological status origin. The data showed that samples presented large variability. properties fl...

this paper presents a new index of financial stress which is constructed by macro data from different financial markets (including banking sector and also housing, foreign exchange and stock markets). the proposed approach has been applied to the iranian economy based on the available quarterly time series, covering the period 1991(1)–2008(2). the paper explains how the selected components capt...

A weighted dissimilarity measure in vectorial spaces is proposed to optimize the performance of the nearest neighbor classifier. An approach to find the required weights based on gradient descent is presented. Experiments with both synthetic and real data shows the effectiveness of the proposed technique.

Nucleus morphology is of great importance in conventional cancer pathological diagnosis, which could provide information difference between normal and abnormal nuclei visually. Therefore, this paper proposes two novel kinds of features for normal and hepatocellular carcinoma (HCC) nucleus recognition, including shape and boundary similarity. First, each individual nucleus patch with the fixed s...

Extreme transcendental differential equations are found in many applications including geophysical climate change models. Solution of these systems in continuous time has only been feasible with the recent development of Runge−Kutta sampling transcendental differential equation solvers with Chebyshev function output such as Mathematica 9÷s NDSolve function. This paper presents the challenges an...

A proper choice of a dissimilarity measure is important in surveys investigating genetic relationships among germplasm with molecular marker data. The objective of our study was to examine 10 dissimilarity coefficients widely used in germplasm surveys, with special focus on applications in plant breeding and seed banks. In particular, we (i) investigated the genetical and mathematical propertie...

A class-dependent weighted (CDW) dissimilarity measure in vector spaces is proposed to improve the performance of the nearest neighbor classifier. In order to optimize the required weights, an approach based on Fractional Programming is presented. Experiments with several standard benchmark data sets show the effectiveness of the proposed technique.

Abstract Background Diversification of global food systems through exploration traditional varieties and wild edible plant species is a focal mitigation strategy for security worldwide. The present study determined the phenomic diversity locally available, affordable climate-resilient cultivated Crotalaria breeding purposes. Methods Seed samples were collected from different administrative coun...

Clustering is an unsupervised learning task that aims at decomposing a given set of objects into subgroups or clusters based on similarity. The goal is to divide the data-set in such a way that objects (or example cases) belonging to the same cluster are as similar as possible, whereas objects belonging to different clusters are as dissimilar as possible. The motivation for finding and building...