Signal Processing and Machine Learning for Smart Sensing Applications-Reference-Cited by-同舟云学术

Signal Processing and Machine Learning for Smart Sensing Applications

Published:2023-01-28 Issue:3 Volume:23 Page:1445
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Chien Ying-Ren¹^ORCID,Zhou Mu²^ORCID,Peng Ao³^ORCID,Zhu Ni⁴^ORCID,Torres-Sospedra Joaquín⁵^ORCID

Affiliation:

1. Department of Electrical Engineering, National Ilan University, Yilan 26047, Taiwan

2. Chongqing Key Lab of Mobile Communications Technology, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

3. School of Informatics, Xiamen University, Xiamen 361005, China

4. AME-GEOLOC, University Gustave Eiffel, F-44344 Bouguenais, France

5. ALGORITMI Research Centre, Universidade do Minho, 4800-058 Guimarães, Portugal

Abstract

The Special Issue “Signal Processing and Machine Learning for Smart Sensing Applications” focused on the publication of advanced signal processing methods by means of state-of-the-art machine learning technologies for smart sensing applications [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/3/1445/pdf

Reference19 articles.

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2. Qin, A., Xian, L., Yang, Y., Zhang, T., and Tang, Y.Y. (2020). Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm. Sensors, 20.

3. Lan, X., Wan, T., Jiang, K., Xiong, Y., and Tang, B. (2021). Intelligent Recognition of Chirp Radar Deceptive Jamming Based on Multi-Pulse Information Fusion. Sensors, 21.

4. Zhao, M., Beurier, G., Wang, H., and Wang, X. (2021). Exploration of Driver Posture Monitoring Using Pressure Sensors with Lower Resolution. Sensors, 21.

5. Driver posture monitoring in highly automated vehicles using pressure measurement;Zhao;Traffic Inj. Prev.,2021

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