Promoting Occupancy Detection Accuracy Using On-Device Lifelong Learning-Reference-Cited by-同舟云学术

Promoting Occupancy Detection Accuracy Using On-Device Lifelong Learning

Published:2023-05-01 Issue:9 Volume:23 Page:9595-9606
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Emad-Ud-Din Muhammad¹^ORCID,Wang Ya²^ORCID

Affiliation:

1. Department of Computer Science, Texas A&M University, College Station, TX, USA

2. J. Mike Walker ’66 Department of Mechanical Engineering, Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA

Funder

U.S. Department of Energy, Advanced Research Projects Agency-Energy

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://ieeexplore.ieee.org/ielam/7361/10113769/10081223-aam.pdf

Reference36 articles.

1. Pruning recurrent neural networks for improved generalization performance

2. Visualizing data using t-SNE;van der maaten;J Mach Learn Res,2008

3. Training Performance of Recurrent Neural Network using RTRL and BPTT for Gamelan Onset Detection

4. The Determination of Cluster Number at k-Mean Using Elbow Method and Purity Evaluation on Headline News

5. Deep gradient compression: Reducing the communication bandwidth for distributed training;lin;Proc ICLR,2017

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