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The purposes of this study are to develop and evaluate the instructional model and learning system which integrate ubiquitous learning, computerized adaptive diagnostic testing system and campus math path learning. The researcher first creates a ubiquitous learning environment which is called “adaptive U-learning math path system”. This system enables(More)
Support vector machine (SVM) is one of the most powerful techniques for supervised classification. However, the performances of SVMs are based on choosing the proper kernel functions or proper parameters of a kernel function. It is extremely time consuming by applying the k-fold cross-validation (CV) to choose the almost best parameter. Nevertheless, the(More)
An optimistic outlook has returned to the field of artificial intelligence (AI) 45 years after the pronouncement by computer scientist John McCarthy that a thinking machine could be created within a decade. Fueling the renewed optimism is rapid progress in AI technologies. The strides that AI has made in recent years are especially apparent in its(More)
Each pixel of the hyperspectral image is composed of hundreds of individual bands. Usually, these pixels are considered as high dimensional vectors. NWFE is a very robust and superior feature extraction method in this aspect of view of image pixel. On the other hand, since adjacent bands in a pixel are usually highly correlated, each pixel can also be(More)
Mesenchymal stem cells (MSC) are important cellular component of the bone marrow microenvironment in supporting hemopoiesis. Li J et al reported previously that MSCs are resistant to chemotherapy commonly used in hematologic malignancies but are relatively sensitive to anti-microtubule agents. However, the response of MSCs to other chemotherapeutic agents(More)
Establishing a good algorithm for predicting temperature of thermostable proteins is an important issue. In this study, an improved thermostable proteins prediction method using Hurst exponent and Choquet integral regression model based on completed L-measure is proposed. The main idea of this method is to integrate the physicochemical properties, fractal(More)
In this study, we propose a novel spatial information based support vector machine for hyperspectral image classification, named spatial-contextual semi-supervised support vector machine (SCSVM). This approach modifies the SVM algorithm [1] for hyperspectral image classification by using the spectral and spatial-contextual information. The concept of SCSVM(More)
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