找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Emerging Research in Computing, Information, Communication and Applications; ERCICA 2020, Volume N. R. Shetty,L. M. Patnaik,N. Nalini Conf

[復(fù)制鏈接]
樓主: Julienne
31#
發(fā)表于 2025-3-26 23:23:19 | 只看該作者
32#
發(fā)表于 2025-3-27 04:40:59 | 只看該作者
,The Onslaught and Resistance, 1934–1935,of precision, recall, F-score, and false-positive rate. With minimum cost function and training epoch can get better results compared to existing methods. In this research best result obtained through random forest method with a less false positive rate compared to other classifiers.
33#
發(fā)表于 2025-3-27 09:04:53 | 只看該作者
34#
發(fā)表于 2025-3-27 11:49:13 | 只看該作者
Research on Security Awareness to Protect Data Through Ontology and Cloud Computing,s paper presents a model whereby the data can be securely stored for the longer duration in the distributed environments. Ultimately the proposed security scheme has achieved better performance and outperformed the conventional technique.
35#
發(fā)表于 2025-3-27 17:19:37 | 只看該作者
36#
發(fā)表于 2025-3-27 19:58:56 | 只看該作者
An Improved Stacked Sparse Auto-Encoder Method for Network Intrusion Detection,of precision, recall, F-score, and false-positive rate. With minimum cost function and training epoch can get better results compared to existing methods. In this research best result obtained through random forest method with a less false positive rate compared to other classifiers.
37#
發(fā)表于 2025-3-28 01:44:18 | 只看該作者
Water Table Analysis Using Machine Learning,ficient (R), Mean Square Error (MSE), accuracy, precision, recall, f1 score, and support were used to assess the performance of these models. These evaluation measures emphasize the capability of these models to keep up with the shift in groundwater levels.
38#
發(fā)表于 2025-3-28 04:54:16 | 只看該作者
39#
發(fā)表于 2025-3-28 06:29:37 | 只看該作者
40#
發(fā)表于 2025-3-28 14:07:23 | 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(ài)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(píng) 投稿經(jīng)驗(yàn)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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 23:54
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
垫江县| 正蓝旗| 贞丰县| 贡山| 和硕县| 固原市| 池州市| 莒南县| 内江市| 镇沅| 青河县| 高碑店市| 五家渠市| 新野县| 武平县| 甘孜县| 永川市| 乐至县| 丰县| 庐江县| 黄骅市| 安宁市| 松江区| 龙胜| 大渡口区| 延寿县| 宕昌县| 安吉县| 博爱县| 吉木萨尔县| 山阳县| 亳州市| 日照市| 冕宁县| 微博| 北票市| 五大连池市| 专栏| 滦平县| 北京市| 新和县|