An Efficient DMO Task Scheduling Technique for Wearable Biomedical Devices-Reference-Cited by-同舟云学术

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An Efficient DMO Task Scheduling Technique for Wearable Biomedical Devices

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Microelectronics (ICM)
language:
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Author:

Mohamed Samah¹,Elbayoumi Mahmoud²,Yousri Retaj¹,Soltan Ahmed³,Darweesh M. Saeed¹

Affiliation:

1. Nile University,Wireless Intelligent Networks Center (WINC),Giza,Egypt,12677

2. Fayoum University,Faculty of Engineering,Electrical Engineering Department,Fayoum,Egypt,63514

3. Nile University,Nanoelectronics Integrated Systems Center (NISC),Giza,Egypt,12677

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005313/10005321/10005328.pdf?arnumber=10005328

Reference25 articles.

1. Nanotechnology-Enabled Energy Harvesting for Self-Powered Micro-/Nanosystems

2. Optimal design of a piezoelectric coupled beam for power harvesting

3. Task Scheduling for Energy-Harvesting-Based IoT: A Survey and Critical Analysis

4. Power management in energy harvesting sensor networks

5. Review of piezoelectric energy harvesting system and application of optimization techniques to enhance the performance of the harvesting system

Cited by 1 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. Sustainable Energy-Aware Task Scheduling for Wearable Medical Device Using Flower Pollination Algorithm;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

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