FMCW Radar-Based Anomaly Detection in Toilet by Supervised Machine Learning Classifier-Reference-Cited by-同舟云学术

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FMCW Radar-Based Anomaly Detection in Toilet by Supervised Machine Learning Classifier

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Global Communications Conference (GLOBECOM)
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Author:

Takabatake Wataru,Yamamoto Kohei,Toyoda Kentaroh,Ohtsuki Tomoaki,Shibata Yohei,Nagate Atsushi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8968653/9013108/09014123.pdf?arnumber=9014123

Cited by 11 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. mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Fall Recognition Based on Time-Level Decision Fusion Classification;Applied Sciences;2024-01-14

3. Biomedical Radar System for Real-Time Contactless Fall Detection and Indoor Localization;IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology;2023-12

4. Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

5. Unsupervised Anomaly Detection to handle Imbalanced Datasets using Auto encoders for ECG signal Classification;2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC);2023-05-26

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