image segmentation is an important task in image processing and computer vision which attract many researchers attention. there are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. markov random field (mrf) is a tool for modeling statistical and structural inf...

extended abstractintroductionhousing is more than a mere physical shelter and be included all public facilities and services necessary to live better human being and be sure to provide a relatively long tenure. in persian housing means place of peace and quiet. residential space in underlying a safe and healthy family environment. today, despite the development of technology and communication, ...

procrastination is a widespread phenomenon that has been associated with the most of cognitive, emotional, and motivational factors, about which a clear and integrated picture is still lacking, though. the aim of this study was to use primary established psychological procrastination-related factors in the base of ellis cognitive emotional behavioral approach to examine whether reliable subgrou...

abstract background: in iran gastric cancer is the second most common cancer and the most cause of death cancer, the aim of this study is provide map geographical distribution of gastric cancer and detect high risk cluster with use of space-time scan statistic. methods: this was an applied study. the data is provided from reports published by center for disease control office in ministry of hea...

Clustering algorithms detect groups of similar population members, like customers, news or genes. In many clustering applications the observed population evolves and changes, subject to internal and external factors. Detecting and understanding change is important for decision support. We extend our earlier framework MONIC for cluster transition modeling and detection, into MONIC for cluster-ty...

We explore an approach to possibilistic fuzzy c-means clustering that avoids a severe drawback of the conventional approach, namely that the objective function is truly minimized only if all cluster centers are identical. Our approach is based on the idea that this undesired property can be avoided if we introduce a mutual repulsion of the clusters, so that they are forced away from each other....

the main objective of this study was to investigate how months cluster in any thermal regions based on temperature. for this purpose, the mean of daily temperature data have been provided using 620 synoptic and climatology stations. then, mean temperature was converted for any station, based on solar calendar, and maps of mean daily temperature have been interpolated using kriging method. spati...

every country actively and initiatively takes all kinds of policy steps to improve the international competitiveness of its industries and therefore improve national integrated competitiveness for the purpose of gaining economic benefits under the context of economic globalization. therefore, studies of moreover, projects launched by the cluster had to be endorsed by the growers and one criteri...

clusters are geographically close groups of related companies or institutions related to a certain area which are inherently more efficient than the other companies due to advantages such as being located in one place, networks, external knowledge, variability of human capital, etc. today, development through clusters plays a pivotal role in the economic and industrial policies of developed cou...

Background: This Cross sectional comparative study was performed to compare the mean fluorescence intensity of cluster of differentiation 45 between healthy individuals and patients with acute lymphoblastic leukemia. Patients and methods: Thirty three healthy individuals (mean age 11 years) and 41 patients with B cell acute lymphoblastic leukemia (mean age 7 years) were enrolled in the study...