迅速 发表于 2025-3-21 16:28:46

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glamor 发表于 2025-3-21 21:26:25

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Mercurial 发表于 2025-3-22 01:57:16

Ursula Maria Stalderhe model predicts well the state of the object, including faulty ones. If the value of this metric is close to 0.5, then the model is not able to predict the class of faulty states and to identify critical situations in the operation of the object. To assess the technical condition of the object, a

Aggregate 发表于 2025-3-22 07:51:40

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凝视 发表于 2025-3-22 08:54:51

Ursula Maria Stalderhe model predicts well the state of the object, including faulty ones. If the value of this metric is close to 0.5, then the model is not able to predict the class of faulty states and to identify critical situations in the operation of the object. To assess the technical condition of the object, a

LAPSE 发表于 2025-3-22 13:12:54

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sinoatrial-node 发表于 2025-3-22 19:49:36

Ursula Maria Stalder to specific topics, such as.Advances in intelligent data processing and its applications.Multi-criteria decision analysis methods.Knowledge engineering in large-scale systems.High-dimensional data analysis.Spatial data analysis and sparse estimation.Innovative technologies and applications in compu

FLIC 发表于 2025-3-22 22:40:23

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称赞 发表于 2025-3-23 03:44:35

Ursula Maria Staldern, however, situations that lead to uncertainty percentages may occur. It can be concluded that a lot of information has ambiguous and incomplete tendencies. However, this information, instead of being wholly discarded because it is considered totally inconclusive, can be analyzed and optimized deci

ACTIN 发表于 2025-3-23 09:16:46

Ursula Maria Stalderculation without subjecting a plant to an invasive procedure. This enabled a deployment and implementation of noninvasive plant disease detection prior to visual symptoms that can be applied on other plants. With analyzed data, the IoT technology in this experiment has enabled the detection of NLB d
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查看完整版本: Titlebook: Leselust in Risikogruppen; Gruppenspezifische W Ursula Maria Stalder Book 2013 Springer Fachmedien Wiesbaden 2013 Heterogenität.Kausale Wir