找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Machine Learning for Networking; 4th International Co éric Renault,Selma Boumerdassi,Paul Mühlethaler Conference proceedings 2022 Springer

[復(fù)制鏈接]
查看: 22354|回復(fù): 45
樓主
發(fā)表于 2025-3-21 19:59:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Machine Learning for Networking
副標(biāo)題4th International Co
編輯éric Renault,Selma Boumerdassi,Paul Mühlethaler
視頻videohttp://file.papertrans.cn/621/620646/620646.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Machine Learning for Networking; 4th International Co éric Renault,Selma Boumerdassi,Paul Mühlethaler Conference proceedings 2022 Springer
描述This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in?in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; communication systems; computer crime; computer networks; computer security; com
版次1
doihttps://doi.org/10.1007/978-3-030-98978-1
isbn_softcover978-3-030-98977-4
isbn_ebook978-3-030-98978-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

書(shū)目名稱(chēng)Machine Learning for Networking影響因子(影響力)




書(shū)目名稱(chēng)Machine Learning for Networking影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Machine Learning for Networking網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Machine Learning for Networking網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Machine Learning for Networking被引頻次




書(shū)目名稱(chēng)Machine Learning for Networking被引頻次學(xué)科排名




書(shū)目名稱(chēng)Machine Learning for Networking年度引用




書(shū)目名稱(chēng)Machine Learning for Networking年度引用學(xué)科排名




書(shū)目名稱(chēng)Machine Learning for Networking讀者反饋




書(shū)目名稱(chēng)Machine Learning for Networking讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:54:14 | 只看該作者
Conference proceedings 2022ris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in?in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slic
板凳
發(fā)表于 2025-3-22 03:44:08 | 只看該作者
Evaluation of Machine Learning Methods for Image Classification: A Case Study of Facility Surface D methods. With these methods, accuracies of 98.6% and 96% were achieved for RC damage classification, respectively. The results of this study demonstrate that the use of machine learning can yield favorable results for damage image classification.
地板
發(fā)表于 2025-3-22 05:17:40 | 只看該作者
5#
發(fā)表于 2025-3-22 11:44:32 | 只看該作者
6#
發(fā)表于 2025-3-22 15:09:23 | 只看該作者
Distance Estimation Using LoRa and Neural Networks,al measurements that represent an actual search and rescue operation, we have achieved distance estimations (between 0 to 120?m) with less than 5% mean error. Add to this, our results, which are based on various LoRa radio parameters, show an improvement of 78% over the mechanisms that use RSSI as the only parameter.
7#
發(fā)表于 2025-3-22 17:19:23 | 只看該作者
Conference proceedings 2022buted and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.
8#
發(fā)表于 2025-3-22 22:12:33 | 只看該作者
to several subvolumes which cover - in alphabetical order - all binary systems of importance. .Subvolume IV/5.H, the eighth of the series, deals with the systems Li-Mi ... Nd-Zr. Further subvolumes are in preparation.978-3-540-68538-8Series ISSN 1615-1844 Series E-ISSN 1616-9522
9#
發(fā)表于 2025-3-23 01:57:50 | 只看該作者
Ching-Lung Fanto several subvolumes which cover - in alphabetical order - all binary systems of importance. .Subvolume IV/5.H, the eighth of the series, deals with the systems Li-Mi ... Nd-Zr. Further subvolumes are in preparation.978-3-540-68538-8Series ISSN 1615-1844 Series E-ISSN 1616-9522
10#
發(fā)表于 2025-3-23 09:34:10 | 只看該作者
Abdullah Alshra’a,Seitz Jochento several subvolumes which cover - in alphabetical order - all binary systems of importance. .Subvolume IV/5.H, the eighth of the series, deals with the systems Li-Mi ... Nd-Zr. Further subvolumes are in preparation.978-3-540-68538-8Series ISSN 1615-1844 Series E-ISSN 1616-9522
 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, 2026-1-16 17:12
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
南投县| 侯马市| 石柱| 通山县| 自治县| 大宁县| 宁陕县| 山东| 利川市| 通州区| 娄底市| 手游| 望江县| 财经| 诸暨市| 武威市| 和林格尔县| 渝北区| 渭南市| 长治县| 益阳市| 北川| 呼伦贝尔市| 梁平县| 太仆寺旗| 罗江县| 秦安县| 安多县| 中西区| 介休市| 崇仁县| 潞城市| 小金县| 平罗县| 奎屯市| 霍城县| 黄冈市| 绵竹市| 北流市| 重庆市| 长岭县|