Plant Biopotential Sensing Based on Generative Adversarial Networks for Environmental Anomaly Detection-Reference-Cited by-同舟云学术

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Plant Biopotential Sensing Based on Generative Adversarial Networks for Environmental Anomaly Detection

Published:2023-12-01 Issue:23 Volume:23 Page:29793-29803
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhao Hanqing¹^ORCID,Nambo Hidetaka²^ORCID

Affiliation:

1. Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), Institute of Innovative Research (IIR), Tokyo Institute of Technology, Meguro City, Tokyo, Japan

2. Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa- shi, Ishikawa, Japan

Funder

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10336249/10295377.pdf?arnumber=10295377

Reference29 articles.

1. Multi-Scale Compositionality: Identifying the Compositional Structures of Social Dynamics Using Deep Learning

2. A Deep Learning Approach for Network Intrusion Detection System

3. The use of the area under the ROC curve in the evaluation of machine learning algorithms

4. Metrics for multi-class classification: An overview;grandini;arXiv 2008 05756,2020

5. Identification of Outliers

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