the agriculture sector has been affected by severe drought in recent years, making development of a drought warning system for agriculture crucial. such a system can be a useful tool for policy makers and investors. this research develops a model for agricultural drought risk assessment using statistical and intelligent methods. kermanshah province, a major rain-fed region of iran, was selected...

Biomarkers for the early detection of liver toxicity are crucial in drug development for assessing the safety of a new drug. Oxidation reduction potential (ORP) is an overall measure of the oxidative stress to which a biological component is subjected and correlates with organ dysfunction. Raman spectroscopy is a non-invasive method that we employed to analyze the perfusates of five normothermi...

a survey on the abundance and diversity of fish larvae along the iranian waters of the oman sea, extending from hormuz strait to gowatr bay, was carried out in 2009 (before and post monsoon). fish larva were collected by a bongo net (300 µ mesh size) and temperature, salinity, dissolved oxygen, ph, chlorophyll-a, clarity, nitrate, nitrite, silicate and sulfate by oceanic data recorder (ctd) and...

A number of current face recognition algorithms use face representations found by unsupervised statistical methods. Typically these methods find a set of basis images and represent faces as a linear combination of those images. Principal component analysis (PCA) is a popular example of such methods. The basis images found by PCA depend only on pairwise relationships between pixels in the image ...

Hybrid approach has a special status among Face Recognition Systems as they combine different recognition approaches in an either serial or parallel to overcome the shortcomings of individual methods. This paper explores the area of Hybrid Face Recognition using score based strategy as a combiner/fusion process. In proposed approach, the recognition system operates in two modes: training and cl...

Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well known that the distribution of face images, under a perceivable variation in viewpoint, illumination or facial expression, is highly nonlinear and complex. It is therefore, not surprising that linear techniques, such as t...

This paper reports a first attempt at developing a computational model of the trait impressions of the face for embodied agents that accommodates the social perception and social construction of faces. Holistic face classifiers, based on principle component analysis (PCA), were trained to match the human classification of faces along the bipolar rating extremes of the following trait dimensions...

Multimodal medical image fusion helps to increase efficiency in medical diagnosis. This paper presents multimodal medical image fusion by selecting relevant features using Principle Component Analysis (PCA) and Particle Swarm Optimization techniques (PSO). DTCWT is used for decomposition of the images into low and high frequency coefficients. Fusion rules such as combination of minimum, maximum...

the geometric mean particle diameter (dg) and lime are two of the most important properties from the viewpoint of soil management. nowadays remote sensing technology which has emerged walking with science development throughout the world, has made soil study faster, more facile and more cost-efficient. an investigation of soil dg and lime was performed in pol-e-dokhtar area by use of four sets ...

Principle Component Analysis (PCA) is a widely used mathematical technique in many fields for factor and trend analysis, dimension reduction, etc. However, it is often considered to be a “black box” operation whose results are difficult to interpret and sometimes counter-intuitive to the user. In order to assist the user in better understanding and utilizing PCA, we have developed a system that...