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Sophisticated Inference
| 順位 | タイトル | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 雑誌 | 巻 | 号 | ページ | 年 | PKVアクセス数 | |||
| 91 | パルスオキシメータプローブを用いた血流依存性血管拡張反応の計測（RH-PATとの比較） | ||||||||
| 嶋脇 聡, 滝田 実優, 木村 有里 | 日本機械学会論文集 | 91 | 947 | 25–00055 | 2025 | 75.95 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 92 | Microstructural evolution and wear mechanisms of cold-sprayed Fe-based metallic glass reinforced Cu matrix composite coatings | ||||||||
| Na Xue, Huaqi Zhao, Guojing Li, Weiwei Li, Ling Shao | Tribology International | 2261 | None | 112476–None | 2027 | 75.94 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 93 | Modelling of the surface morphology and size effects on fatigue strength of L-PBF Inconel 718 by comparing different testing specimens | ||||||||
| Giuseppe Macoretta, Lorenzo Romanelli, Ciro Santus, Luca Romoli, Bernardo Disma Monelli | International Journal of Fatigue | 181 | None | 108120–None | 2024 | 75.84 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 94 | Influence of ferritic nitrocarburizing on the high-temperature corrosion-fatigue properties of the Si-Mo-Al cast iron SiMo1000 | ||||||||
| Shengmei Xiang, Stefan Jonsson, Peter Hedström, Baohua Zhu, Joakim Odqvist | International Journal of Fatigue | 143 | None | 105984–None | 2021 | 75.81 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 95 | Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning | ||||||||
| Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang | Neural Computation | 36 | 5 | 936–962 | 2024 | 75.61 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 96 | An approach for predicting fatigue crack growth in polymers based on high-fidelity multidimensional feature mapping and physical constraints | ||||||||
| Xiaobo Cao, Wei Li, Ahmad Serjouei, Zifan Hu, Zhenduo Sun | International Journal of Fatigue | 211 | None | 109730–None | 2026 | 75.55 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 97 | Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins | ||||||||
| Jérôme Tubiana, Simona Cocco, Rémi Monasson | Neural Computation | 31 | 8 | 1671–1717 | 2019 | 75.45 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 98 | Out in the Field Versus Inside in the Lab: A Comparison of Design Professionals’ Concept Screening Practices | ||||||||
| Xuan Zheng, Scarlett R. Miller | Journal of Mechanical Design | 143 | 4 | 041401–None | 2021 | 75.17 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 99 | Ellipsometry-Based Quantification of Catalyst–Support Diffusion Kinetics in Rapid Thermal Chemical Vapor Deposition | ||||||||
| Golnaz Tomaraei, Jaegeun Lee, Seung Min Kim, Moataz Abdulhafez, Mostafa Bedewy | Journal of Manufacturing Science and Engineering | 148 | 8 | 081002–None | 2026 | 74.74 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 100 | Bayesian Hierarchical Fatigue Scattering Model for Laser-Fused Metal Components | ||||||||
| Vipul Bansal, Panayiotis Kousoulas, Shiyu Zhou, Y.B. Guo | Journal of Manufacturing Science and Engineering | 148 | 8 | 081004–None | 2026 | 74.67 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||