找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
查看: 22228|回复: 45
发表于 2025-3-21 19:59:31 | 显示全部楼层 |阅读模式
书目名称Machine Learning for Networking
副标题4th International Co
编辑Éric Renault,Selma Boumerdassi,Paul Mühlethaler
视频video
丛书名称Lecture Notes in Computer Science
图书封面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
关键词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

书目名称Machine Learning for Networking影响因子(影响力)




书目名称Machine Learning for Networking影响因子(影响力)学科排名




书目名称Machine Learning for Networking网络公开度




书目名称Machine Learning for Networking网络公开度学科排名




书目名称Machine Learning for Networking被引频次




书目名称Machine Learning for Networking被引频次学科排名




书目名称Machine Learning for Networking年度引用




书目名称Machine Learning for Networking年度引用学科排名




书目名称Machine Learning for Networking读者反馈




书目名称Machine Learning for Networking读者反馈学科排名




单选投票, 共有 0 人参与投票
 

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

您所在的用户组没有投票权限
发表于 2025-3-21 22:54:14 | 显示全部楼层
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
发表于 2025-3-22 03:44:08 | 显示全部楼层
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.
发表于 2025-3-22 05:17:40 | 显示全部楼层
发表于 2025-3-22 11:44:32 | 显示全部楼层
发表于 2025-3-22 15:09:23 | 显示全部楼层
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.
发表于 2025-3-22 17:19:23 | 显示全部楼层
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.
发表于 2025-3-22 22:12:33 | 显示全部楼层
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
发表于 2025-3-23 01:57:50 | 显示全部楼层
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
发表于 2025-3-23 09:34:10 | 显示全部楼层
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
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-7 13:01
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表