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アクセスランキング(PKV)

Currently viewing Reliability and Quality Engineering Field Ranking

順位 タイトル
著者 雑誌 ページ PKVアクセス数
931 Identification of Cascading Failure Initiated by Hidden Multiple-Branch Contingency
Liang Che, Xuan Liu, Yunfeng Wen, Zuyi Li IEEE Transactions on Reliability 68 1 149–160 2019 8.73
平均評価: / 5 ( 件のレビュー)
932 Improving Failure Tolerance in Large-Scale Cloud Computing Systems
Liang Luo, Sa Meng, Xiwei Qiu, Yuanshun Dai IEEE Transactions on Reliability 68 2 620–632 2019 8.73
平均評価: / 5 ( 件のレビュー)
933 An Approach for the Prediction of Number of Software Faults Based on the Dynamic Selection of Learning Techniques
Santosh Singh Rathore, Sandeep Kumar IEEE Transactions on Reliability 68 1 216–236 2019 8.73
平均評価: / 5 ( 件のレビュー)
934 A Paradigm Shift from Telemedicine to Autonomous Human Health and Performance for Long-Duration Space Missions
Alexandre Popov, Wolfgang Fink, Andrew Hess International Journal of Prognostics and Health Management 10 3 2627–None 2019 8.73
平均評価: / 5 ( 件のレビュー)
935 Tumor Hypoxia Diagnosis using Deep CNN Learning strategy a theranostic pharmacogenomic approach
Vaisali B, Parvathy C R, Hima Vyshnavi A M, Krishnan Namboori P K International Journal of Prognostics and Health Management 10 3 2625–None 2019 8.73
平均評価: / 5 ( 件のレビュー)
936 Robustness of Subset Simulation to Functional Forms of Limit State Functions in System Reliability Analysis: Revisiting and Improvement
Zhi-Yong Yang, Zi-Jun Cao, Xiao-Bo Feng, Dian-Qing Li, Siu-Kui Au IEEE Transactions on Reliability 67 1 66–78 2018 8.73
平均評価: / 5 ( 件のレビュー)
937 Reliability Impact of Dynamic Thermal Rating System in Wind Power Integrated Network
Jiashen Teh, Ian Cotton IEEE Transactions on Reliability 65 2 1081–1089 2016 8.73
平均評価: / 5 ( 件のレビュー)
938 Asymmetric Unscented Transform for Failure Prognosis
Bruno P. Leão, Takashi Yoneyama, João Paulo Pordeus Gomes IEEE Transactions on Reliability 65 3 1406–1415 2016 8.73
平均評価: / 5 ( 件のレビュー)
939 Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering
Junda Zhu, Jae M. Yoon, David He, Yongzhi Qu, Eric Bechhoefer International Journal of Prognostics and Health Management 4 3 2151–None 2013 8.73
平均評価: / 5 ( 件のレビュー)
940 A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber International Journal of Prognostics and Health Management 15 1 3589–None 2024 8.71
平均評価: / 5 ( 件のレビュー)