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

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書目名稱Applied Computer Sciences in Engineering影響因子(影響力)




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書目名稱Applied Computer Sciences in Engineering網(wǎng)絡(luò)公開度




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書目名稱Applied Computer Sciences in Engineering被引頻次




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書目名稱Applied Computer Sciences in Engineering讀者反饋




書目名稱Applied Computer Sciences in Engineering讀者反饋學(xué)科排名

Fester

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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低能兒

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.

Nibble

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

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Juan Carlos Figueroa-García,German Hernández,Elvis

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BRIBE

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

Gossamer

Overstate