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Titlebook: Hot Isostatic Pressing— Theory and Applications; Proceedings of the T M. Koizumi Conference proceedings 1992 Elselvier Science Publishers L

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Kozo Ishizakiding of electrochemical ion storage mechanisms. In-situ characterization techniques provide real-time insights into structural and electronic changes in electrode materials, bridging the gap between current and desired battery performance. Key in-situ techniques include X-ray diffraction (XRD), X-ra
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Susumu Shima,Akio Inayay data, i.e., the cumulative sum of orders’ value placed in the recent past, to make the shipping charge exemption rule friendly to low and mid-budget customers. Furthermore, it reduces biasness against vendors selling products that cost less than the threshold amount. Such a win-win scenario for th
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Yasushi Matsuoness of GNNs that heavily rely on graph convolutions. We experimentally validate the proposed framework using three popular real-world complex networks. Importantly, our method outperforms contemporary frameworks. The . code for reproducing the results is available for download (.).
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Yushi Horiuchi,Kyoichi Ichinoseki,Yoshio Nakamuraverse machine learning models, aiming to uncover classification method strengths and weaknesses. Ensemble methods like Stacking and Voting achieve an impressive 82.69% test accuracy, with Extra Trees excelling in precision, Logistic Regression in recall, and CatBoost maintaining balanced performance
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Jianren Zeng,Isao Tanaka,Yoshinari Miyamoto,Osamu Yamada,Koichi Niiharas improve productivity by identifying steps that need to be taken at different phases of crop production. Precision farming uses advanced techniques such as collecting data, training systems, and predicting outcomes using IoT, data mining, data analytics, machine learning, and more. With the help of
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