松果
发表于 2025-3-26 23:23:19
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Hallmark
发表于 2025-3-27 04:40:59
,The Onslaught and Resistance, 1934–1935,of precision, recall, F-score, and false-positive rate. With minimum cost function and training epoch can get better results compared to existing methods. In this research best result obtained through random forest method with a less false positive rate compared to other classifiers.
飞行员
发表于 2025-3-27 09:04:53
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远地点
发表于 2025-3-27 11:49:13
Research on Security Awareness to Protect Data Through Ontology and Cloud Computing,s paper presents a model whereby the data can be securely stored for the longer duration in the distributed environments. Ultimately the proposed security scheme has achieved better performance and outperformed the conventional technique.
Congregate
发表于 2025-3-27 17:19:37
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ALB
发表于 2025-3-27 19:58:56
An Improved Stacked Sparse Auto-Encoder Method for Network Intrusion Detection,of precision, recall, F-score, and false-positive rate. With minimum cost function and training epoch can get better results compared to existing methods. In this research best result obtained through random forest method with a less false positive rate compared to other classifiers.
宇宙你
发表于 2025-3-28 01:44:18
Water Table Analysis Using Machine Learning,ficient (R), Mean Square Error (MSE), accuracy, precision, recall, f1 score, and support were used to assess the performance of these models. These evaluation measures emphasize the capability of these models to keep up with the shift in groundwater levels.
微生物
发表于 2025-3-28 04:54:16
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ingrate
发表于 2025-3-28 06:29:37
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刺穿
发表于 2025-3-28 14:07:23
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