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 and Intelligent Communications; Third International Limin Meng,Yan Zhang Conference proceedings 2018 ICST Institute for C

[復(fù)制鏈接]
查看: 18687|回復(fù): 59
樓主
發(fā)表于 2025-3-21 17:14:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Machine Learning and Intelligent Communications
副標(biāo)題Third International
編輯Limin Meng,Yan Zhang
視頻videohttp://file.papertrans.cn/621/620475/620475.mp4
叢書(shū)名稱(chēng)Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書(shū)封面Titlebook: Machine Learning and Intelligent Communications; Third International  Limin Meng,Yan Zhang Conference proceedings 2018 ICST Institute for C
描述This volume constitutes the refereed post-conference proceedings of the Third International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, held in Hangzhou, China, in July 2018..The 66 revised full papers were carefully selected from 102 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, wireless mobile network and security, cognitive radio and intelligent networking, IoT, intelligent satellite communications and networking, green communication and intelligent networking, ad-hoc and sensor networks, resource allocation in wireless and cloud networks, signal processing in wireless and optical communications, and intelligent cooperative communications and networking.
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; bit error rate; cognitive radio; computer networks; data security; estimation; in
版次1
doihttps://doi.org/10.1007/978-3-030-00557-3
isbn_softcover978-3-030-00556-6
isbn_ebook978-3-030-00557-3Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018
The information of publication is updating

書(shū)目名稱(chēng)Machine Learning and Intelligent Communications影響因子(影響力)




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications被引頻次




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications被引頻次學(xué)科排名




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications年度引用




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications年度引用學(xué)科排名




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications讀者反饋




書(shū)目名稱(chēng)Machine Learning and Intelligent Communications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

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:12:48 | 只看該作者
978-3-030-00556-6ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018
板凳
發(fā)表于 2025-3-22 02:10:51 | 只看該作者
Machine Learning and Intelligent Communications978-3-030-00557-3Series ISSN 1867-8211 Series E-ISSN 1867-822X
地板
發(fā)表于 2025-3-22 06:50:19 | 只看該作者
5#
發(fā)表于 2025-3-22 11:55:31 | 只看該作者
6#
發(fā)表于 2025-3-22 15:39:42 | 只看該作者
7#
發(fā)表于 2025-3-22 18:23:00 | 只看該作者
Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Mobile Edge Computingropose a deep reinforcement learning-based approach to solve joint task offloading and resource allocation problems. Simulation results show that the proposed deep Q-learning-based algorithm can achieve near-optimal performance.
8#
發(fā)表于 2025-3-22 21:59:29 | 只看該作者
Fast Inter Prediction Mode Decision Algorithm Based on Data Miningchoose decision trees to solve the splitting decision problem. We implement the decision trees on official software HM16.2 and test the algorithm on the testing set. Experiments indicate that the fast decision algorithm improve the coding performance more efficiently than some existing algorithms.
9#
發(fā)表于 2025-3-23 03:37:10 | 只看該作者
Variable Tap-Length Blind Equalization for Underwater Acoustic Communication the update algorithm to realize the blind equalization of the underwater acoustic channel. The simulation shows that the algorithm adaptively adjusts the length of the taps to the optimal. Compared with the traditional blind equalization algorithm, the performance of the system is improved.
10#
發(fā)表于 2025-3-23 08:27:20 | 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, 2026-1-21 01:02
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
静宁县| 赤峰市| 汕头市| 海宁市| 古田县| 浙江省| 宝坻区| 天全县| 西安市| 沙坪坝区| 遂溪县| 泗洪县| 巴彦县| 黄浦区| 将乐县| 尖扎县| 英山县| 顺平县| 建昌县| 新龙县| 霸州市| 重庆市| 噶尔县| 山东省| 黔江区| 邯郸市| 祁阳县| 沭阳县| 吉木萨尔县| 新乡市| 芜湖市| 红原县| 西宁市| 镇江市| 郸城县| 苍山县| 永德县| 宝兴县| 宁陕县| 共和县| 奉贤区|