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Gergely Hajgató, Bálint Gyires-Tóth, György Paál
Pág. 230 - 239
A novel technique to accelerate optimization-driven aerodynamic shape design is presented in the paper. The methodology of optimization-driven design is based on the automated evaluation of many similar shapes which are generated according to the output ...
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Souhail Maazioui, Imad Kissami, Fayssal Benkhaldoun and Driss Ouazar
In this paper, an innovative methodology to handle the numerical simulation of viscoplastic flows is proposed based on a multigrid initialization algorithm in conjunction with the SIMPLE procedure. The governing equations for incompressible flow, which c...
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Yiming Tang, Rui Chen and Bowen Xia
Nowadays, most fuzzy clustering algorithms are sensitive to the initialization results of clustering algorithms and have a weak ability to handle high-dimensional data. To solve these problems, we developed the viewpoint-driven subspace fuzzy c-means (VS...
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Shrutika S. Sawant, Marco Wiedmann, Stephan Göb, Nina Holzer, Elmar W. Lang and Theresa Götz
The success of the convolutional neural network (CNN) comes with a tremendous growth of diverse CNN structures, making it hard to deploy on limited-resource platforms. These over-sized models contain a large amount of filters in the convolutional layers,...
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Tan Nghia Duong, Nguyen Nam Doan, Truong Giang Do, Manh Hoang Tran, Duc Minh Nguyen and Quang Hieu Dang
Recommendation systems based on convolutional neural network (CNN) have attracted great attention due to their effectiveness in processing unstructured data such as images or audio. However, a huge amount of raw data produced by data crawling and digital...
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Amin Totounferoush, Frédéric Simonis, Benjamin Uekermann and Miriam Schulte
preCICE is an open-source library, that provides comprehensive functionality to couple independent parallelized solver codes to establish a partitioned multi-physics multi-code simulation environment. For data communication between the respective executa...
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Joonas Hämäläinen, Tommi Kärkkäinen and Tuomo Rossi
Two new initialization methods for K-means clustering are proposed. Both proposals are based on applying a divide-and-conquer approach for the K-means? type of an initialization strategy. The second proposal also uses multiple lower-dimensional subspaces...
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Zeynel Cebeci and Cagatay Cebeci
The goal of partitioning clustering analysis is to divide a dataset into a predetermined number of homogeneous clusters. The quality of final clusters from a prototype-based partitioning algorithm is highly affected by the initially chosen centroids. In ...
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Alejandro-Israel Barranco-Gutiérrez, José-Alfredo Padilla-Medina, Francisco J. Perez-Pinal, Juan Prado-Olivares, Saúl Martínez-Díaz and Oscar-Octavio Gutiérrez-Frías
Nowadays, the deformation measurement in metal sheets is important for industries such as the automotive and aerospace industries during its mechanical stamping processes. In this sense, Digital Image Correlation (DIC) has become the most relevant measur...
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Yuxuan Feng, Jinzhong Min, Xiaoran Zhuang and Shiqi Wang
In order to further investigate the influence of ensemble generation methods on the storm-scale ensemble forecast (SSEF) system, a new ensemble sensitivity analysis-based ensemble transform with 3D rescaling (ET_3DR_ESA) method was developed. The Weather...
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Weijia Chen and Yancai Xiao
The Ensemble Empirical Mode Decomposition (EEMD) algorithm has been used in bearing fault diagnosis. In order to overcome the blindness in the selection of white noise amplitude coefficient e in EEMD, an improved artificial bee colony algorithm (IABC) is...
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Lena-Marie Ränger, Ulrich Preißinger and Thomas Grützner
Dividing Wall Columns (DWCs) allow the separation of a ternary mixture in one column shell by applying a vertical partition wall, yielding a reduction of operational and capital costs of up to 30%. Multiple DWC (mDWC), the consequent advancement of stand...
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Peng Liu, Xiaobin Qiu, Yi Yang, Yuanyuan Ma and Shuanglong Jin
This study aims to assess the performance of different dynamical downscaling methods using updated land surface information. Particular attention is given to obtaining high-resolution climate information over China by the combination of an appropriate dy...
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Lena-Marie Ränger, Ulrich Preißinger and Thomas Grützner
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Ahmad B. Hassanat, V. B. Surya Prasath, Mohammed Ali Abbadi, Salam Amer Abu-Qdari and Hossam Faris
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Jingjing Cao, Li Zhuo and Haiyan Tao
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Mohammad Mahfuzur Rahman and Minjiao Lu
Model spin-up is an adjustment process where its internal stores move from an initial state of unusual conditions to one of equilibrium. Model outputs during this spin-up process are often unrealistic and misleading. This study investigates some primary ...
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Biqing Ye, Guixin Yu, Yidong Zhang and Gang Li
Aerostatic bearings are considered crucial components that can improve the measurement accuracy of ground simulation tests of space equipment. A structural optimization design method is proposed to enhance the static performance of aerostatic bearings. A...
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T. N. KRISHNAMURTI,BHASKAR JHA,ZAPHIRIS CHRISTIDES
Nowcasting of daily rainfall using physical initialization provides a dynamical and thermodynamical structure consistent with respect to the imposed 'observed' rainfall. This procedure provides a very high skill for the modeled ram as compared to the ...
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Nicolas Akil, Guillaume Artigue, Michaël Savary, Anne Johannet and Marc Vinches
Neural networks are used to forecast hydrogeological risks, such as droughts and floods. However, uncertainties generated by these models are difficult to assess, possibly leading to a low use of these solutions by water managers. These uncertainties are...
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