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Titlebook: Light Metals 2019; Corleen Chesonis Conference proceedings 2019 Springer Nature Switzerland AG 2019 Materials Science.Solidification.Alumi

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Lawrence J. Andermann Jr.,Adrian Mullins,Cameron Smyth,Clive Roscoed for both presentation and publishing in the Proceedings. This means also that the History of TMM is of interest everywhere and, indeed, an in-depth knowledge of the past can be of great help in working on the present and in shaping the future with new ideas. I believe that a reader will take advantage of th978-90-481-5485-2978-94-015-9554-4
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Wencui Chai,Guihong Han,Yanfang Huang,Yijun Cao,Jiongtian Liu presentation and publishing in the Proceedings. This means also that the History of TMM is of interest everywhere and, indeed, an in-depth knowledge of the past can be of great help in working on the present and in shaping the future with new ideas. I believe that a reader will take advantage of th
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Yuan Shi,Kai-xi Jiang,Ting-an Zhang,Guo-zhi Lvf the threaded joints. The influence of bolt, nut and thread geometrical dimensions and materials are taking into account..The more exact the load on the most loaded thread will be determined, the more exact the most loaded bolt and nut cross sections will be determined. Having determined equivalent
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nce to 100% training set accuracy. DNE also converged monotonically to 100% testing set accuracy. DNE can achieve perfect accuracy with small training sets and small CNNs. Particularly when combined with Deep Reinforcement Learning, DNE may provide a path forward in the quest to make radiology AI mo
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Guanting Liu,Liu Yan,Xiaolong Li,Weihua Sun,Zimu Zhang,Ting’an Zhang
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