找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
樓主: 譴責(zé)
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 01:22
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
阿图什市| 山阴县| 麻江县| 拜城县| 厦门市| 抚顺市| 翁牛特旗| 长顺县| 漳浦县| 汶川县| 承德县| 巴南区| 介休市| 香港| 威远县| 旌德县| 乐陵市| 石家庄市| 鹤壁市| 犍为县| 芒康县| 绥德县| 通化县| 通许县| 全州县| 汕尾市| 永仁县| 玉树县| 延长县| 达孜县| 湄潭县| 壤塘县| 洮南市| 滦平县| 察雅县| 广东省| 桐柏县| 宁海县| 乌拉特前旗| 扎赉特旗| 巴彦淖尔市|