In this research, two techniques of pixel-based and object-based image analysis were investigated and compared for providing land use map in arid basin of Mokhtaran, Birjand. Using Landsat satellite imagery in 2015, the classification of land use was performed with three object-based algorithms of supervised fuzzy-maximum likelihood, maximum likelihood, and K-nearest neighbor. Nine combinations...

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...

the present work was designed to classify and differentiate between the dehalogenase enzyme to non–dehalogenases (other hydrolases) by taking the amino acid propensity at the core, surface and both the parts. the data sets were made on an individual basis by selecting the 3d structures of protein available in the pdb (protein data bank). the prediction of the core amino acid were predicted by i...

objective: to classify different types of acute leukemia based on cooperative game theory and shapley value. materials and methods: in this study, patients data were collected from flow cytometry tests of the iran blood transfusion organization (ibto) have been used. 304 different diagnosed samples in 8 classes of acute leukemia were investigated. samples were initially in numerical format. i...

conclusions categorization of trials based on their classification scheme to investigate the efficacy of classification-based physical therapy could reduce the heterogeneity of trials and allow researchers to understand the contradictory results in this context. results a total of 12 rcts were identified and categorized into four classification schemes. some evidence supporting classification-s...

Imbalanced classification techniques have been applied widely in the field of data mining. It is used to classify imbalanced classes that are not equal number samples. The problem performance tends class with more samples while few will obtain poor performance. This can be occurred Qur’anic due different verses. Many studies classified verses, which depended on traditional classification. Howev...

Classification of various rice types and determination of its quality is a major issue in the scientific and commercial fields associated with modern agriculture. In recent years, various image processing techniques are used to identify different types of agricultural products. There are also various color and texture-based features in order to achieve the desired results in this area. In this ...

One of the most important artificial immune algorithms is negative selection algorithm, which is an anomaly detection and pattern recognition technique; however, recent research has shown the successful application of this algorithm in data classification. Most of the negative selection methods consider deterministic boundaries to distinguish between self and non-self-spaces. In this paper, two...

Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...

In today world of internet, it is important to feedback the users based on what they demand. Moreover, one of the important tasks in data mining is classification. Today, there are several classification techniques in order to solve the classification problems like Genetic Algorithm, Decision Tree, Bayesian and others. In this article, it is attempted to classify researchers to “Expert” and “No...