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Titlebook: Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization; Robust Optimization Reza Yousefzadeh,Ali

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發(fā)表于 2025-3-25 03:33:57 | 只看該作者
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發(fā)表于 2025-3-25 10:03:21 | 只看該作者
History Matching and Robust Optimization Using Proxies,nal cost of the process. The majority of the computational burden is associated with numerous reservoir simulations required to calculate the misfit/objective function over a large number of realizations. In addition to reducing the number of geological scenarios, another way to reduce the computati
23#
發(fā)表于 2025-3-25 14:55:30 | 只看該作者
, the present work focuses on modeling and optimization during Nd:YAG laser microgrooving of K-60 alumina ceramic material with an objective to find the optimum process parameters settings for minimizing the upper width deviation. The experiments are performed as per Box–Behnken design of experiment
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發(fā)表于 2025-3-25 19:31:43 | 只看該作者
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發(fā)表于 2025-3-25 22:14:59 | 只看該作者
Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhade high morbidity and mortality rate include malaria, leishmaniasis, and toxoplasmosis. The convetional treatments involved are not cost-effective and thus can’t be afforded by everyone. Also, vaccinations against these diseases have achieved limited success due to the incredible smartness of these p
26#
發(fā)表于 2025-3-26 04:09:24 | 只看該作者
Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhadpurification as well as mechano-physical properties of this advanced form of Carbon (C). At present, CNTs and its composites have gained industrial importance due to its better mechanical, optical and thermal properties when it is compared with other materials. Development in carbon nanotubes-based
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發(fā)表于 2025-3-26 06:05:40 | 只看該作者
28#
發(fā)表于 2025-3-26 11:17:43 | 只看該作者
Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhadthe FLNN are proposed for undertaking data classification tasks. The main objective is to optimize the FLNN by formulating a parsimonious network with less complexity and lower computational burden as compared with the original FLNN. The methodology consists of selecting a number of important expand
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發(fā)表于 2025-3-26 14:01:39 | 只看該作者
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發(fā)表于 2025-3-26 18:03:03 | 只看該作者
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