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Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Hoai-

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发表于 2025-3-23 11:35:50 | 显示全部楼层
https://doi.org/10.1007/978-3-642-95948-6rium MD (NEMD) simulations. A tilting angle line-defect engineering technique is adopted to adjust the material anisotropic. Mechanical properties of the defect-line with different angles designs are systematically examined and numerically analyzed. A fiction stress-ratio versus strain-ratio chart i
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The phosphatides and glycolipidsof the anisotropic behavior of sheet metal, the Hill48 quadratic yield criterion is adopted instead of the von Mises yield function. The proposed fracture criterion is formulated by transforming principal stress components into stress triaxiality and Lode parameter space. In addition, the influence
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The phosphatides and glycolipidsposed in this paper. The theory is developed from a general higher-order shear deformation framework and modified couple stress theory to capture the size effects. The displacements are approximated by bi-directional series of hybrid shape functions, then characteristic equations of motion are obtai
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https://doi.org/10.1007/978-3-642-94704-9st-order shear deformation equivalent single layer theory. In which, the plate is modelled by the 3-node triangle elements having a bubble node located at the centroid. The plate transverse shear strains are independently interpolated by using the shear-locking removal technique MITC3+. The plate me
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https://doi.org/10.1007/978-3-662-25012-9t can be used to implement pairs trading. While traditional statistical financial methods, such as correlation, distance, and cointegration…, are applied by many authors, machine learning methods are applied by only a few researchers. So, in this paper, we will present the application of the Genetic
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Stoffwechselwirkungen der Steroidhormoneed three types of branch convolution neural networks named two dimensions convolution neural networks with three branches (2D-3B-CNN), two dimensions convolution neural networks with two branches (2D-2B-CNN), and three dimensions convolution neural networks with three branches (3D-3B-CNN). It extrac
发表于 2025-3-25 02:18:59 | 显示全部楼层
Zur anabolen Wirkung von Androgeneny. Multivariate Adaptive Regression Splines (MARS) model ~ a machine learning approach, is adopted to build the close–form equation between input variables and output results, and also investigate the coupling effects among input variables by sensitive analysis. The artificial data for MARS model is
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