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Titlebook: Advances in Information and Communication Technology; Proceedings of the 2 Phung Trung Nghia,Vu Duc Thai,Van-Nam Huynh Conference proceedin

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31#
發(fā)表于 2025-3-26 22:48:03 | 只看該作者
32#
發(fā)表于 2025-3-27 04:12:03 | 只看該作者
33#
發(fā)表于 2025-3-27 05:24:24 | 只看該作者
34#
發(fā)表于 2025-3-27 10:35:01 | 只看該作者
35#
發(fā)表于 2025-3-27 13:58:28 | 只看該作者
Efren Martinez Ortiz,Ivonne Andrea Flórez has great implications for society. In this work, the random forest method combined with a neural network was proposed to improve the classification of emotions by building feature maps. Training and testing models were built to perform the experiments, which achieved very good accuracy in the range of 98.5% to 99.7% for the two datasets.
36#
發(fā)表于 2025-3-27 18:37:44 | 只看該作者
37#
發(fā)表于 2025-3-28 01:38:37 | 只看該作者
38#
發(fā)表于 2025-3-28 04:02:08 | 只看該作者
https://doi.org/10.1007/978-3-319-71350-2del on benchmark corpora. Experimental results on 29 diverse datasets indicate that the proposed model obtains promising results compared to good as well as state-of-the-art baselines. The ablation study also shows the behavior of the model in several aspects.
39#
發(fā)表于 2025-3-28 08:28:10 | 只看該作者
https://doi.org/10.1007/978-3-319-71350-2preprocess data and filter noise, in order to create a complete database for training and testing model. Natural elements are also used in combination with object features (forest fire images) to build feature vectors. This study will allow to develop the technology and open up new opportunities for its subsequent application.
40#
發(fā)表于 2025-3-28 13:00:23 | 只看該作者
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