Evidence map›Paper›PMID 36905041›Full record

ArticleSensors (Basel, Switzerland)2023

Abnormal Behavior Monitoring Method of

Zhongchao Wang, Xia Zhang, Yuxiang Su, Weiye Li, Xiaolong Yin, Zhenhua Li, Yifan Ying, Jicong Wang, Jiapeng Wu, Fengjuan Miao and 1 more

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In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhongchao WangSchool of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan 316022, China.
Xia ZhangFishery Research Institute of Zhoushan, Zhoushan 316021, China.
Yuxiang SuSchool of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan 316022, China.
Weiye LiFishery Research Institute of Zhoushan, Zhoushan 316021, China.
Xiaolong YinFishery Research Institute of Zhoushan, Zhoushan 316021, China.
Zhenhua LiSchool of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan 316022, China.
Yifan YingSchool of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan 316022, China.
Jicong WangSchool of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan 316022, China.
Jiapeng WuSchool of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan 316022, China.
Fengjuan MiaoCollege of Communications and Electronics Engineering, Qiqihar University, Qiqihar 161006, China.ORCID 0000-0003-4489-2322
Keyang ZhaoSchool of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan 316022, China.ORCID 0000-0002-0527-5084

Funding

Basic Public Welfare Research Program of Zhejiang Province LGN22C19011Fundamental Research Funds for Zhejiang Provincial Universities and Research Institutes 2022J008General scientific research Project of the Department of Education of Zhejiang Province Y202147973Key Project of Natural Science Foundation of Heilongjiang Province ZD2019F004National University Student Innovation and Entrepreneurship Training Plan 202110340004National University Student Innovation and Entrepreneurship Training Plan 202210340053Projects of Zhoushan Science and Technology Planning 2022C41009The Guidance Projects of Key research and Development Program of Heilongjiang Province GZ20210073
6 · The paper itself

Abstract

It is crucial to monitor the status of aquaculture objects in recirculating aquaculture systems (RASs). Due to their high density and a high degree of intensification, aquaculture objects in such systems need to be monitored for a long time period to prevent losses caused by various factors. Object detection algorithms are gradually being used in the aquaculture industry, but it is difficult to achieve good results for scenes with high density and complex environments. This paper proposes a monitoring method for

Indexed as

PerciformesAnimalsAquacultureFishesabnormal behavior monitoringBytetrackimproved YOLOXrecirculating aquaculture system

Identifiers

PMID36905041
PMCPMC10007144

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read23
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.