Titlebook: Applied Computer Sciences in Engineering; 11th Workshop on Eng Juan Carlos Figueroa-García,German Hernández,Elvis Conference proceedings 20

徽章

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




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




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




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




書目名稱Applied Computer Sciences in Engineering被引頻次




書目名稱Applied Computer Sciences in Engineering被引頻次學科排名




書目名稱Applied Computer Sciences in Engineering年度引用




書目名稱Applied Computer Sciences in Engineering年度引用學科排名




書目名稱Applied Computer Sciences in Engineering讀者反饋




書目名稱Applied Computer Sciences in Engineering讀者反饋學科排名

展覽

PHON

星星

agnostic

Aromatic

FACET

Neal A. Carnes,John Malone,Jordan Helmsifier achieved an accuracy of 75%. In contrast, the neural network, specifically a multilayer neural network, achieved an accuracy of 90%. Including PCA for feature selection significantly contributed to the overall performance improvement in both classifiers. This study’s findings show the potentia

愚笨

Nonporous

鑲嵌細工

F. Ameglio,R. Tosi,N. Tanigaki,A. Doleiiminative capability, particularly in recognizing “Happy” and “Surprise” emotions, whereas the DMD model, despite lower overall accuracy, showed potential in capturing dynamic features. This study’s findings underscore the importance of combining advanced feature extraction techniques with robust ne