上釉彩 发表于 2025-3-28 18:12:10

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小卷发 发表于 2025-3-28 18:50:41

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consolidate 发表于 2025-3-28 23:56:44

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甜食 发表于 2025-3-29 06:25:30

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丰满有漂亮 发表于 2025-3-29 08:49:20

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上涨 发表于 2025-3-29 14:22:08

,Implementation of a Lightweight CNN for American Sign Language Classification, learning to reduce the training time by reusing the weights of EfficientNet, pre-trained with the ImageNet dataset. Our results are compared with the benchmark paper, proving that our model generalizes better to unseen instances. In the first section of this study, we introduce American sign langua

装勇敢地做 发表于 2025-3-29 17:28:07

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过分 发表于 2025-3-29 22:39:11

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多余 发表于 2025-3-30 01:31:08

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荒唐 发表于 2025-3-30 06:06:47

Kryokonservierung von Blutzellen016 to 2020. Results indicate that the use of multimodal deep learning models (pre-trained CNN for images and LSTM for time series sensor data) gives better prediction accuracy than monomodal prediction models.
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查看完整版本: Titlebook: Doctoral Symposium on Information and Communication Technologies; Second Doctoral Symp Karina Abad,Santiago Berrezueta Conference proceedin