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 and Intelligent Communications; First International Huang Xin-lin Conference proceedings 2017 ICST Institute for Computer

[复制链接]
查看: 22539|回复: 51
发表于 2025-3-21 17:03:49 | 显示全部楼层 |阅读模式
书目名称Machine Learning and Intelligent Communications
副标题First International
编辑Huang Xin-lin
视频video
概述Includes supplementary material:
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Machine Learning and Intelligent Communications; First International  Huang Xin-lin Conference proceedings 2017 ICST Institute for Computer
描述This book constitutes the refereed post-conference proceedings of the International Conference on Machine Learning and Intelligent Communications, MLICOM 2016, held in Shanghai, China in August 2016.. The 41 revised full papers were carefully reviewed and selected from 47 submissions. The papers are organized thematically: data mining in heterogeneous networks, decentralized learning for wireless communication systems, intelligent cooperative/distributed coding, intelligent cooperative networks, Intelligent massive MIMO, time coded multi-user MIMO System based on three dimensional complementary codes, intelligent positioning and navigation systems, intelligent spectrum allocation schemes, machine learning algorithm & cognitive radio networks, machine learning for multimedia.
出版日期Conference proceedings 2017
关键词antennas; Bayesian analysis; cognitive radio; data mining; frequency allocation; localization; machine lea
版次1
doihttps://doi.org/10.1007/978-3-319-52730-7
isbn_softcover978-3-319-52729-1
isbn_ebook978-3-319-52730-7Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017
The information of publication is updating

书目名称Machine Learning and Intelligent Communications影响因子(影响力)




书目名称Machine Learning and Intelligent Communications影响因子(影响力)学科排名




书目名称Machine Learning and Intelligent Communications网络公开度




书目名称Machine Learning and Intelligent Communications网络公开度学科排名




书目名称Machine Learning and Intelligent Communications被引频次




书目名称Machine Learning and Intelligent Communications被引频次学科排名




书目名称Machine Learning and Intelligent Communications年度引用




书目名称Machine Learning and Intelligent Communications年度引用学科排名




书目名称Machine Learning and Intelligent Communications读者反馈




书目名称Machine Learning and Intelligent Communications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 22:15:53 | 显示全部楼层
Hao Zheng,Zinan Song,Shuyi Zhang,Shuo Chai,Liwei Shao
发表于 2025-3-22 03:35:56 | 显示全部楼层
Dezhi Li,Yaoqing Ni,Qun Wu,Zhenyong Wang,Deyang Kong
发表于 2025-3-22 07:10:27 | 显示全部楼层
发表于 2025-3-22 12:23:56 | 显示全部楼层
An Emergency Event Driven Routing Algorithm for Bi-directional Highway in Vehicular Ad Hoc Networksmore by the emergency events. Furthermore, we derive the transmission delay formula based on the proposed algorithm. Finally, the algorithm is verified by the simulation of the transmission delay formula. The results show that the proposed emergency event driven routing algorithm can reduce the tran
发表于 2025-3-22 14:23:35 | 显示全部楼层
发表于 2025-3-22 18:28:37 | 显示全部楼层
Siwei Wu,Demin Li,Guanglin Zhang,Chang Guo,Leilei Qiren, letztlich dem Ratsuchenden qualitativ und quantitativ exakte Anweisungen gegeben werden können, wie er das Problem, das der Beratungsanlass war, lösen kann. In der Regel handelt es sich dabei darum, dass der Ratsuchende mit seiner körperlichen Leistungsfähigkeit nicht zufrieden ist. Es macht ke
发表于 2025-3-22 21:45:08 | 显示全部楼层
发表于 2025-3-23 03:45:13 | 显示全部楼层
A Novel Constellation Shaping Method to Reduce PAPR for Rate Compatible Modulationthat, comparing with original constellation, TR2C scheme can achieve 1 dB performance gain at BER = . by improving the transmission power with 1.8 dB. And TR2C achieves the capacity performance close to original constellation when SRN from 5 dB to 30 dB.
发表于 2025-3-23 08:02:15 | 显示全部楼层
 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, 2025-5-4 09:39
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