Titlebook: Computational and Experimental Simulations in Engineering; Proceedings of ICCES Shaofan Li Conference proceedings 2024 The Editor(s) (if ap

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Latin American Mathematics Serieseep complex strata. In comparison, the BP neural network and stratified Eaton index averaging methods have errors of 14.398% and 14.447%, respectively. The joint use of deep learning and the Eaton method not only improves the accuracy of pore pressure prediction in deep complex formations but also i

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Symposia on Theoretical Physics model was established to optimize crude oil allocation. Finally, this paper proposes the optimum density limit for crude oil batch transportation by discussing the influence of mixing crude oil density on the supply, profit, and loss. The optimized result of the oil field’s transportation and distr

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Muon Capture by Complex Nuclei,ariables are obtained. The implicit smooth structure topology of constrained damping layer is determined by the level set function (LSF) constructed by node sensitivity. The analysis of the design model is replaced by the FEA model with various elemental volume fractions, which are determined by the

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Partial Muon Capture in Light Nuclei,are calculated under different loading conditions. To simplify the design process, one unit cell with periodic boundaries and equivalent loads is optimized. The overall three-dimensional structure of the vibration isolator is eventually periodically modelled from the optimized cell structure, and it

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Partial Muon Capture in Light Nuclei,which need to be determined by subjective value judgment. The part that can not be determined by the market is not reflected in the current GEP accounting system. The current system mainly continues the design of the GDP accounting system, this is clearly not enough to meet the actual needs. This pa

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https://doi.org/10.1007/978-1-4684-7691-0sional tube convective heat transfer problem was employed as the case study to test the algorithm. The results show that the proposed algorithm is indeed a computational-light and anti-interference approach for solving IHTPs. The proposed algorithm can achieve estimation of unknown boundary conditio

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A New Approach to Scattering Theory,el is trained and tested by simulation data, and it achieves the mean relative errors of 1.96% and 3.01% for the film and impingement holes in the test dataset, respectively. An optimization is introduced by adding an edge identification tensor into the input tensor and a corresponding convolutional

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Symposia on Theoretical Physics 4ter performance in terms of the value of mIoU compared with U-Net, a CNN-based model, while U-Net obtained higher accuracy. The DAE-Former model has superior anti-noise ability to UNETR++, whereas UNETR++ is more robust in terms of domain transfer.

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