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Titlebook: Engineering Applications of Neural Networks; 24th International C Lazaros Iliadis,Ilias Maglogiannis,Elias Pimenidis Conference proceedings

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樓主: endocarditis
41#
發(fā)表于 2025-3-28 15:06:52 | 只看該作者
42#
發(fā)表于 2025-3-28 19:32:41 | 只看該作者
Load-Shedding Management in?a?Smart Grid Architecture Through Smart Meteringetic Algorithm in an electrical system. An unbalanced load in a distribution feeder has adverse effects on the system. All the transformer units connected to the feeder have different operating loads, and the system’s overall behaviour depends on them. Even if the transformers are not overloaded, an
43#
發(fā)表于 2025-3-29 02:58:38 | 只看該作者
44#
發(fā)表于 2025-3-29 05:38:28 | 只看該作者
45#
發(fā)表于 2025-3-29 11:14:37 | 只看該作者
A Multi-relationship Language Acquisition Model for?Predicting Child Vocabulary Growthpecially for children experiencing language delay. Previous studies have demonstrated vocabulary predictions using neural network techniques and graph models; however, individually these models do not fully capture the complexities of language learning in infants. In this paper, we describe a multi-
46#
發(fā)表于 2025-3-29 12:34:58 | 只看該作者
Knowledge Graph of?Urban Firefighting with?Rule-Based Entity Extractionty extraction method for this field. The Precision of the experiment is 85.25%, while the Recall is 83.58%. In addition, we establish the relationships between entities in urban firefighting in advance with the experience of domain experts. Through the above two steps, we have initially established
47#
發(fā)表于 2025-3-29 19:14:36 | 只看該作者
48#
發(fā)表于 2025-3-29 22:25:43 | 只看該作者
Educating The Sons of the Revolution,Learned Bloom Filters, our experimental study highlights that only one of these implementations exhibits higher robustness to classifier performance and to noisy data, and that only two families of classifiers have desirable properties in relation to the previous performance indicators.
49#
發(fā)表于 2025-3-30 02:36:49 | 只看該作者
Jennifer Green-Lewis,Margaret Soltanto evaluate and classify water conductivity levels at the “Bramianon” dam of Crete, with the development of powerful Machine Learning models capable of successfully assigning three labels “Low”, “Medium”, “High”.
50#
發(fā)表于 2025-3-30 04:55:43 | 只看該作者
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