アクセスランキング(PKV)
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Mechanical Engineering
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Jubilee Review: The 65 Years of the ASME Machine Design Award (1958–2023)
| 順位 | タイトル | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 雑誌 | 巻 | 号 | ページ | 年 | PKVアクセス数 | |||
| 1361 | A Scheme to Reduce the Number of Parity Check Bits in Orthogonal Latin Square Codes | ||||||||
| Pedro Reviriego, Shanshan Liu, Alfonso Sánchez-Macián, Liyi Xiao, Juan Antonio Maestro | IEEE Transactions on Reliability | 66 | 2 | 518–528 | 2017 | 5.84 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1362 | Joint Maintenance-Production Optimization of Multistage Manufacturing Systems: A Hierarchical Multiagent Reinforcement Learning Framework | ||||||||
| Qin Zhang, Di Cao, Zhiguo Zeng, Hong-Zhong Huang, Yu Liu | IEEE Transactions on Reliability | 75 | 1 | 1569–1583 | 2026 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1363 | Global Sensitivity Analysis of Dynamic Parameters to Industrial Robots Considering Spacetime Two-Dimensional Output Responses | ||||||||
| Shunyu Wang, Jinhui Wu, Pengpeng Tian, Chenghu Tang, Yourui Tao | IEEE Transactions on Reliability | 74 | 2 | 2813–2826 | 2025 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1364 | Which Coefficients Matter Most—Consecutive k-Out-of-n:F Systems Revisited | ||||||||
| Vlad-Florin Drăgoi, Valeriu Beiu | IEEE Transactions on Reliability | 73 | 3 | 1633–1646 | 2024 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1365 | Knowledge-based and Expert Systems in Prognostics and Health Management: a Survey | ||||||||
| Kalil Bouhadra, Florent Forest | International Journal of Prognostics and Health Management | 15 | 2 | 3986–None | 2024 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1366 | Elimination of Die-Pop Defect by Vacuum Reflow for Ultrathin Die With Warpage in Semiconductor Packaging Assembly | ||||||||
| Siang Miang Yeo, Ho Kwang Yow, Keat Hoe Yeoh, Siti Nur Farhana Mohamad Azenal | IEEE Transactions on Reliability | 73 | 1 | 784–791 | 2024 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1367 | Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with Non-Linear Features of Cutting Force and Vibration Signatures | ||||||||
| Viswajith S Nair, Rameshkumar K, Saravanamurugan S | International Journal of Prognostics and Health Management | 15 | 1 | 3590–None | 2024 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1368 | Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed | ||||||||
| Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber | IEEE Transactions on Reliability | 70 | 1 | 402–415 | 2021 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1369 | Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction | ||||||||
| Shuhua Yang, Xiaomo Jiang, Shengli Xu, Xiaofang Wang | International Journal of Prognostics and Health Management | 9 | 1 | 2697–None | 2018 | 5.83 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 1370 | Targeted Augmentation Domain-Mixed Network for Single-Source Domain Generalization Fault Diagnosis | ||||||||
| He Ren, Jun Wang, Zhongkui Zhu, Yi Zhang, Song Zhang | IEEE Transactions on Reliability | 75 | 1 | 1925–1938 | 2026 | 5.82 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||