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: Applied Soft Computing and Communication Networks; Proceedings of ACN 2 Sabu M. Thampi,Jaime Lloret Mauri,Axel Sikora Conference proceeding

[復(fù)制鏈接]
樓主: HBA1C
21#
發(fā)表于 2025-3-25 03:46:33 | 只看該作者
22#
發(fā)表于 2025-3-25 11:24:56 | 只看該作者
2367-3370 were carefully reviewed and selected from several initial submissions.? The book is directed to the researchers and scientists engaged in various fields of intelligent systems..978-981-33-6172-0978-981-33-6173-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
23#
發(fā)表于 2025-3-25 14:30:29 | 只看該作者
Conference proceedings 20210) held in VIT, Chennai, India, during October 14–17, 2020. The research papers presented were carefully reviewed and selected from several initial submissions.? The book is directed to the researchers and scientists engaged in various fields of intelligent systems..
24#
發(fā)表于 2025-3-25 16:28:59 | 只看該作者
25#
發(fā)表于 2025-3-25 22:39:20 | 只看該作者
C. León,R. León,F. Vázquez-Poloy, precision, recall, F1 and prediction time. Experimental results of the model built demonstrated 99.92667% accuracy, 0.22 s predicting time in CICDDoS2019 and 96.2% accuracy, 0.12 s predicting time in UNSW-NB15 dataset in the instance of Random Forest classifier which is higher than other classification algorithms.
26#
發(fā)表于 2025-3-26 00:18:21 | 只看該作者
27#
發(fā)表于 2025-3-26 05:48:00 | 只看該作者
28#
發(fā)表于 2025-3-26 11:02:11 | 只看該作者
Distributed Denial of Service (DDoS) Attacks Detection: A Machine Learning Approach,y, precision, recall, F1 and prediction time. Experimental results of the model built demonstrated 99.92667% accuracy, 0.22 s predicting time in CICDDoS2019 and 96.2% accuracy, 0.12 s predicting time in UNSW-NB15 dataset in the instance of Random Forest classifier which is higher than other classification algorithms.
29#
發(fā)表于 2025-3-26 12:51:30 | 只看該作者
30#
發(fā)表于 2025-3-26 18:33:59 | 只看該作者
https://doi.org/10.1007/978-3-030-62669-3nd the DEAP dataset is used for other emotions. A depressed individual can get out of his sad mental state with the aid of this system. Angry, excited, pleasant and sad emotions are classified with the aid of Support Vector Machine and respective soothing videos for each emotion are played in the virtual world.
 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, 2026-1-21 14:54
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
金塔县| 方正县| 麻阳| 海晏县| 淮安市| 民和| 公主岭市| 万安县| 潼南县| 新巴尔虎左旗| 唐海县| 简阳市| 原平市| 苍梧县| 高州市| 长武县| 绥化市| 定安县| 尼勒克县| 潮安县| 保靖县| 屯门区| 兴城市| 桓台县| 施秉县| 敦煌市| 富川| 阿巴嘎旗| 儋州市| 德保县| 周至县| 依兰县| 兰西县| 小金县| 航空| 大埔县| 商都县| 阜平县| 西安市| 无为县| 蒲城县|