上釉彩 发表于 2025-3-28 18:12:10
http://reply.papertrans.cn/29/2823/282283/282283_41.png小卷发 发表于 2025-3-28 18:50:41
http://reply.papertrans.cn/29/2823/282283/282283_42.pngconsolidate 发表于 2025-3-28 23:56:44
http://reply.papertrans.cn/29/2823/282283/282283_43.png甜食 发表于 2025-3-29 06:25:30
http://reply.papertrans.cn/29/2823/282283/282283_44.png丰满有漂亮 发表于 2025-3-29 08:49:20
http://reply.papertrans.cn/29/2823/282283/282283_45.png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
http://reply.papertrans.cn/29/2823/282283/282283_47.png过分 发表于 2025-3-29 22:39:11
http://reply.papertrans.cn/29/2823/282283/282283_48.png多余 发表于 2025-3-30 01:31:08
http://reply.papertrans.cn/29/2823/282283/282283_49.png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.