using satellite imagery for the study of earth's resources is attended by manyresearchers. in fact, the various phenomena have different spectral response inelectromagnetic radiation. one major application of satellite data is the classification ofland cover. in recent years, a number of classification algorithms have been developed forclassification of remote sensing data. one of the most nota...

Fuzzy dynamic clustering algorithm of mold grid resources associated with the total lifecycle of mold based on F-test was constructed in this paper. To classify and establish mold manufacturing grid resources conveniently, this paper divides mold grid resources into seven types. Generally time (T), quality (Q), cost (C), service (S), reputation (R), liability (L) and environment (E) are chosen ...

In many online applications of machine learning, the computational resources available will vary from time-to-time. Surprisingly, existing techniques are designed to accommodate the minimum expected resources, and fail to utilize further resources when they are available. This paper presents an analysis of the relevant categories of computational resource involved, and presents an algorithm tha...

An ever increasing population associated with various other factors has put tremendous pressure on the environment and its respective resources. Hence it has become necessary to study the human interactions with its surrounding environment to facilitate sustainable developmental plans. Land use and land cover is the most dominant factor to study these interactions. Remote Sensing technology has...

Soil classification has proceeded along the classical path of biological classifications but has not produced an internationally accepted system even though the WRB is supported by the IUSS. More recently Mazaheri et al. (1995a, 1995b) have tried to introduce Fuzzy logic into soil classification. They achieved a small amount of success when their technique was applied to selected soils in Austr...

user-generated medical messages on internet contain extensive information related to adverse drug reactions (adrs) and are known as valuable resources for post-marketing drug surveillance. the aim of this study was to find an effective method to identify messages related to adrs automatically from online user reviews.we conducted experiments on online user reviews using different feature set an...

This paper presents the first steps towards reliable polarity classification based on Czech data. We describe a method for annotating Czech evaluative structures and build a standard unigram-based Naive Bayes classifier on three different types of annotated texts. Furthermore, we analyze existing results for both manual and automatic annotation, some of which are promising and close to the stat...

Today, for many companies, there are large numbers of manufacturing equipments. To better utilize manufacturing resources, it is necessary to classify the equipments into a few groups. In this paper, the hybrid algorithm of fuzzy clustering algorithm (FCM) and genetic algorithm (GA) is implemented to group manufacturing resources. An application sample is developed and its results are analyzed....

Elasticity algorithms for cloud infrastructures dynamically change the amount of resources allocated to a running service according to the current and predicted future load. Since there is no perfect predictor, and since different applications’ workloads have different characteristics, no single elasticity algorithm is suitable for future predictions for all workloads. In this work, we introduc...

In order to meet learners' personalized learning needs, realize development, and solve the problem of information Trek overload, a development scheme e-learning resources recommendation system based on Bayesian algorithm is proposed. This paper studies Association model integrating association rule mining network, improves by combining historical record pruning network verification. process min...