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241.835  Articles
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In this paper, a combination of the Boltzmann network method and the immersion boundary simulates the behavior and deformation of erythrocytes with different primary shapes. Initially, erythrocytes were simulated with an elliptical geometry in a shear flo... see more

3D models classification is a critical process of Building Information Modeling (BIM). A Deep Learning Approach is proposed to classify 3D models in BIM environment. The ray based feature extraction algorithm is used to extract features of 3D models and f... see more

One approach that is often used in forecasting is artificial neural networks (ANN), but ANNs have problems in determining the initial weight value between connections, a long time to reach convergent, and minimum local problems.Deep Belief Network (DBN) m... see more

The leaching process of cobalt using a wide range of experimental variables is described. The treated cobalt samples were from the Kalumbwe Mine in the south of the Democratic Republic of Congo. In this study, a predictive model of cobalt recovery using b... see more

The research problem is related to the emerging need to prepare teachers for careers in the context of globalization and digitalization of education. The purpose of the study is to design and substantiate a methodological system of personalized training o... see more

Through interviews and induction, this paper attempts to discuss the importance of college English teaching methods in the teaching process under the network context and point out issues like teachers’ inadequate awareness and abilities of collecting netw... see more

The subject matter of the article is the processes of structural synthesis and parametric analysis of information and telecommunication networks (ITN). The aim is to develop the methodological apparatus which will enable obtaining ITN structural and techn... see more

It is considered a classification problem solution based on analysys of represented review. It’s shown that the neural networks have important advantages beside other methods, such as: classification using the nearest neighbor method, support vector class... see more

In this paper, a new method has been proposed to eliminate the weaknesses in the previous algorithms. The proposed method for data density clustering is reduced in the mapping programming model. Our analysis result shows that misleading data was presented... see more

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