Water quality monitoring method based on feedback self correcting dense connected convolution network-Reference-Cited by-同舟云学术

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Water quality monitoring method based on feedback self correcting dense connected convolution network

Published:2019-07 Issue: Volume:349 Page:301-313
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Shuhong Cheng,Shijun Zhang^ORCID,Dianfan Zhang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference37 articles.

1. Real-time motion generating method for artificial fish;Kim;J. Interlibrary Loan Doc. Deliv. Inf. Supply,2007

2. Using image processing technology for water quality monitoring system;Lai,2011

3. Fish motion tracking research based on video algorithm;Shu-hong;Opto-Electron. Eng.,2011

4. A method for real-time measurement of respiratory rhythms in medaka (oryzias latipes) using computer vision for water quality monitoring;Zheng;Ecotoxicol. Environ. Saf.,2014

5. Fish activity model based on tail swing frequency;CHEN;J. Image Graph.,2009

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