Deep Learning Modeling of a WBAN-MIMO Channel in Underground Mine
Author:
Affiliation:
1. Computer Sciences and Engineering Department, University of Quebec in Outaouais, Gatineau, Canada
2. School of Engineering, Université du Québec en Abitibi-Témiscamingue (UQAT), Val-d’Or, QC, Canada
Funder
Fond de Recherche du Québec-Nature et Technologie
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09803035.pdf?arnumber=9803035
Reference46 articles.
1. Deep learning using rectified linear units (ReLU);agarap;arXiv 1803 08375,2018
2. A High-Speed and Low-Complexity Architecture for Softmax Function in Deep Learning
3. The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
4. Escaping from saddle points-online stochastic gradient for tensor decomposition;ge;Proc Conf Learn Theory,2015
5. Normalization: A Preprocessing Stage
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimal and Efficient Sensor Design for 5G-Based Internet-of-Body Healthcare Monitoring Network;Journal of Network and Systems Management;2024-01
2. Decode-and-Forward Based Cooperative MIMO System using Deep Learning for Wireless Body Area Networks;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27
3. Real-time health monitoring in WBANs using hybrid Metaheuristic-Driven Machine Learning Routing Protocol (MDML-RP);AEU - International Journal of Electronics and Communications;2023-08
4. Statistical Analysis for Path Loss Model of WBAN at 50GHz Microwave Band;2023 4th Information Communication Technologies Conference (ICTC);2023-05-17
5. EEDLABA: Energy-Efficient Distance- and Link-Aware Body Area Routing Protocol Based on Clustering Mechanism for Wireless Body Sensor Network;Applied Sciences;2023-02-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3