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Forward stepwise random forest analysis for experimental designs
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Chang-Yun Lin
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53 |
5 |
488–504 |
2021 |
13.88 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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Multi-sensor based landslide monitoring via transfer learning
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Wendong Li, Fugee Tsung, Zhenli Song, Ke Zhang, Dongdong Xiang
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53 |
5 |
474–487 |
2021 |
11.94 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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Toward a better monitoring statistic for profile monitoring via variational autoencoders
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Nurettin Dorukhan Sergin, Hao Yan
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53 |
5 |
454–473 |
2021 |
10.88 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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Boost-R: Gradient boosted trees for recurrence data
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Xiao Liu, Rong Pan
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53 |
5 |
545–565 |
2021 |
7.92 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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Robustness with respect to class imbalance in artificial intelligence classification algorithms
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Jiayi Lian, Laura Freeman, Yili Hong, Xinwei Deng
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53 |
5 |
505–525 |
2021 |
5.96 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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An adaptive sensor selection framework for multisensor prognostics
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Minhee Kim, Jing-Ru C. Cheng, Kaibo Liu
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53 |
5 |
566–585 |
2021 |
5.94 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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Artificial intelligence and statistics for quality technology: an introduction to the special issue
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Bianca Maria Colosimo, Enrique del Castillo, L. Allison Jones-Farmer, Kamran Paynabar
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53 |
5 |
443–453 |
2021 |
5.92 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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Deep multistage multi-task learning for quality prediction of multistage manufacturing systems
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Hao Yan, Nurettin Dorukhan Sergin, William A. Brenneman, Stephen Joseph Lange, Shan Ba
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53 |
5 |
526–544 |
2021 |
4.94 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
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