landsat data for 1992, 2000, and 2013 land use changes for ekbatan dam watershed was simulated through ca-markov” model. two classification methods were initially used, viz. the maximum likelihood (mal) and support vector machine (svm). although both methods showed high overall accuracy and kappa coefficient, visually mal failed in separating land uses, particularly built up and dry lands.there...

due to the effective role of markov models in customer relationship management (crm), there is a lack of comprehensive literature review which contains all related literatures. in this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. one hundred articles were identified and reviewed to find direct relevance for applying markov models...

This paper describes the rainfall data generation processes, which were used to simplify the recharge model developed by Khazai and Spink. The principles of techniques used for single and two sites generation are discussed. The application of the techniques for extending the rainfall records at the existing stations and increasing arbitrarily the numbers of rain gauges within the catchment are ...

with regard to the society’s need for complicated software and high level of expenses on its development, it is necessary to take all stakeholders’ requirements and the demands into consideration, before any investments and put on the design and utilization stages. software architecture is a technical description of a software system that indicates components and their relationships between the...

Markov decision processes (MDPs) have found success in many application areas that involve sequential making under uncertainty, including the evaluation and design of treatment screening protocols for medical making. However, data used to parameterize model can influence what policies are recommended, multiple competing sources common areas, medicine. In this article, we introduce Multi-model p...