Network Effects on Dual Machine Learning Models Predicting Smart Home Sensor Measurements-Reference-Cited by-同舟云学术

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Network Effects on Dual Machine Learning Models Predicting Smart Home Sensor Measurements

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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Author:

Almhairat Saif¹,Wallace Bruce²,Lariviere-Chartier Julien³,El-Haraki Ali⁴,Goubran Rafik²,Knoefel Frank⁵

Affiliation:

1. Carleton University,Department of Systems and Computer Engineering (SCE),Ottawa,Canada

2. Carleton University,Bruyère Research Institute; AGE-WELL SAM3 Innovation Hub,Department of SCE,Ottawa,Canada

3. Carleton University,Bruyère Research Institute,Department of SCE,Ottawa,Canada

4. TELUS Communications,Managing Consultant Cyber Security Strategy,Ottawa,Canada

5. Carleton University,AGE-WELL SAM3 Innovation Hub,Bruyère Research Institute; Elisabeth Bruyère Hospital; Department of SCE,Ottawa,Canada

Funder

AGE-WELL

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9806445/9806446/09806503.pdf?arnumber=9806503

Reference18 articles.

1. A Secure and Dependable Connected Smart Home System for Elderly

2. Supportive Smart Home Systems: Utilization Assessment for Internet Service Provider Networks

3. Reducing the data transmission in WSNs using time series prediction model

4. Real-time data reduction at the network edge of Internet-of-Things systems

5. Data Reduction with Real-Time Critical Data Forwarding for Internet-of-Things

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. Maintaining Synchrony of Dual Machine Learning: A Phase-Locked Loop Approach;2022 IEEE Sensors Applications Symposium (SAS);2022-08-01

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