The research of imbalance data classification is the hot point in the field of data mining. Conventional classifiers are not suitable to the imbalanced learning tasks since they tend to classify the instances to the majority class which is the less important class. This paper pays close attention to the uniqueness of uneven data distribution in imbalance classification problems. Without change ...

In this paper, the implementation of Building Information Modelling (BIM) systems in various selected countries is reviewed to highlight the successful practices in this field. In several situations, BIM was implemented in conjunction with Industry Foundation Classes (IFC) for better integration and interoperability of various components of BIM system. The roles of the public and private sector...

Multidimensional classification has become one of the most relevant topics in view of the many domains that require a vector of class values to be assigned to a vector of given features. The popularity of multidimensional Bayesian network classifiers has increased in the last few years due to their expressive power and the existence of methods for learning different families of these models. Th...

INTRODUCTION Considering that empowering expectant mothers is an important issue to maintain a healthy pregnancy, this study was conducted to evaluate the predictors of empowerment among Iranian pregnant women. METHODS This cross sectional study was conducted in Golestan, North of Iran in 2015. A total number of 161 pregnant women were selected through random cluster sampling from urban healt...

In this article, we initiate a systematic study of graph resilience. The (local) resilience of a graph G with respect to a property P measures how much one has to change G (locally) to destroy P . Estimating the resilience leads to many new and challenging problems. Here we focus on random and pseudorandom graphs and prove several sharp results. © 2008 Wiley Periodicals, Inc. Random Struct. Alg...

Representations One aspect of frontal cortical function that has been given less attention than it is due, both in this review and in the literature in general, is the biological basis of the generation and manipulation of abstract frontal representations. Response properties of some PFC cells have been shown to correspond with abstract rules (Wallis et al, 2001), and models such as those of No...

This study aims to analyze visual narrative content on Instagram as a form of feminist digital activism in post-pandemic era. In addition, it will further how the social cognitive learning process through has potential encourage formation awareness women’s issues Indonesia. research uses descriptive qualitative method completed by analysis. At same time, data was collected in-depth interviews w...

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New classes of quadratic time-frequency representations (QTFRs), such as the affine, hyperbolic, and power classes, are interesting alternatives to the conventional shift-covariant class (Cohen's class). This paper studies new QTFR classes that retain the inner structure of Cohen's class. These classes are based on a pair of "conjugate" unitary operators and satisfy covariance and marginal prop...