首页> 外文会议>International Wireless Communications and Mobile Computing Conference >Migrating Intelligence from Cloud to Ultra-Edge Smart IoT Sensor Based on Deep Learning: An Arrhythmia Monitoring Use-Case
【24h】

Migrating Intelligence from Cloud to Ultra-Edge Smart IoT Sensor Based on Deep Learning: An Arrhythmia Monitoring Use-Case

机译:基于深度学习将智能从云迁移到超边缘智能IoT传感器:心律失常监测用例

获取原文

摘要

Traditionally, the Internet of Things (IoT) devices, deployed on the ultra-edge of the network, lack computation, and energy resources. In this paper, we press on the need to go beyond the realms of traditional edge computing (e.g., limited to user-smartp
机译:传统上,部署在网络超边缘上的物联网(IoT)设备缺乏计算和能源资源。在本文中,我们迫切需要超越传统边缘计算的领域(例如,仅限于用户智能

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号