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Titlebook: Applied Computer Sciences in Engineering; 10th Workshop on Eng Juan Carlos Figueroa-García,German Hernández,Elvis Conference proceedings 20

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发表于 2025-3-21 17:12:50 | 显示全部楼层 |阅读模式
期刊全称Applied Computer Sciences in Engineering
期刊简称10th Workshop on Eng
影响因子2023Juan Carlos Figueroa-García,German Hernández,Elvis
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学科分类Communications in Computer and Information Science
图书封面Titlebook: Applied Computer Sciences in Engineering; 10th Workshop on Eng Juan Carlos Figueroa-García,German Hernández,Elvis Conference proceedings 20
影响因子This book constitutes the refereed proceedings of the 10th Workshop on Engineering Applications, WEA 2023, held in Cartagena, Colombia, during November 1–3, 2023. .The 37 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows:​ artificial intelligence; optimization; and simulation. .
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发表于 2025-3-21 21:02:38 | 显示全部楼层
Impact of Pruning Distribution in Compressed CNN Models: A Case Study VGG16) using random pruning, for the CIFAR10 dataset, five pruning rate per layer and ten experiments for each case. According to the results found in the fifty pruned models, it was determined that the type of PR affects the performance of the models, with bottom-up and top-down/bottom-up pruning
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Machine Learning for Rice (,L.) Phenological Identificationer running the automation function in Pycaret, Linear Discriminant Analysis was obtained as the best model for our data with 96.11% accuracy. Planet Scope images are optimal for monitoring phenology in rice crops due to their high resolution and the homogeneity of rice crops.
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wGMU: A Novel Fusion Strategy to Identify the Important Parts of Sentence for Relation Classificatioions to obtain a sentence representation. This approach enables the analysis of the im- importance of each token that composes the sentence in the RC. According to F1-score, the wGMU strategy outperforms the early fusion strategy by up to 6% and the approach based on the original GMU by up to 14%. M
发表于 2025-3-22 16:09:03 | 显示全部楼层
Juan Carlos Figueroa-García,German Hernández,Elvis
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https://doi.org/10.1007/978-3-319-09060-3 VGG16) using random pruning, for the CIFAR10 dataset, five pruning rate per layer and ten experiments for each case. According to the results found in the fifty pruned models, it was determined that the type of PR affects the performance of the models, with bottom-up and top-down/bottom-up pruning
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