Fish Detection Using Deep Learning

Recently, human being’s curiosity has been expanded from the land to the sky and the sea. Besides sending people to explore the ocean and outer space, robots are designed for some tasks dangerous for living creatures. Take the ocean exploration for an example. There are many projects or competitions...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Applied Computational Intelligence and Soft Computing Ročník 2020; číslo 2020; s. 1 - 13
Hlavní autori:	Zhai, Lujun, Wang, Yonghui, Zhou, Yu, Cui, Suxia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc Wiley
Predmet:	Algorithms Artificial neural networks Autonomous underwater vehicles Big Data Brain Computation Computer simulation Data augmentation Datasets Decision making Deep learning Digital cameras Electronic cameras Embedded systems Machine learning Medical imaging equipment Medical research Neural networks Optimization Researchers Robotics Robots Sensors Swimming pools Training Underwater exploration Underwear China
ISSN:	1687-9724, 1687-9732
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Recently, human being’s curiosity has been expanded from the land to the sky and the sea. Besides sending people to explore the ocean and outer space, robots are designed for some tasks dangerous for living creatures. Take the ocean exploration for an example. There are many projects or competitions on the design of Autonomous Underwater Vehicle (AUV) which attracted many interests. Authors of this article have learned the necessity of platform upgrade from a previous AUV design project, and would like to share the experience of one task extension in the area of fish detection. Because most of the embedded systems have been improved by fast growing computing and sensing technologies, which makes them possible to incorporate more and more complicated algorithms. In an AUV, after acquiring surrounding information from sensors, how to perceive and analyse corresponding information for better judgement is one of the challenges. The processing procedure can mimic human being’s learning routines. An advanced system with more computing power can facilitate deep learning feature, which exploit many neural network algorithms to simulate human brains. In this paper, a convolutional neural network (CNN) based fish detection method was proposed. The training data set was collected from the Gulf of Mexico by a digital camera. To fit into this unique need, three optimization approaches were applied to the CNN: data augmentation, network simplification, and training process speed up. Data augmentation transformation provided more learning samples; the network was simplified to accommodate the artificial neural network; the training process speed up is introduced to make the training process more time efficient. Experimental results showed that the proposed model is promising, and has the potential to be extended to other underwear objects.
AbstractList	Recently, human being’s curiosity has been expanded from the land to the sky and the sea. Besides sending people to explore the ocean and outer space, robots are designed for some tasks dangerous for living creatures. Take the ocean exploration for an example. There are many projects or competitions on the design of Autonomous Underwater Vehicle (AUV) which attracted many interests. Authors of this article have learned the necessity of platform upgrade from a previous AUV design project, and would like to share the experience of one task extension in the area of fish detection. Because most of the embedded systems have been improved by fast growing computing and sensing technologies, which makes them possible to incorporate more and more complicated algorithms. In an AUV, after acquiring surrounding information from sensors, how to perceive and analyse corresponding information for better judgement is one of the challenges. The processing procedure can mimic human being’s learning routines. An advanced system with more computing power can facilitate deep learning feature, which exploit many neural network algorithms to simulate human brains. In this paper, a convolutional neural network (CNN) based fish detection method was proposed. The training data set was collected from the Gulf of Mexico by a digital camera. To fit into this unique need, three optimization approaches were applied to the CNN: data augmentation, network simplification, and training process speed up. Data augmentation transformation provided more learning samples; the network was simplified to accommodate the artificial neural network; the training process speed up is introduced to make the training process more time efficient. Experimental results showed that the proposed model is promising, and has the potential to be extended to other underwear objects.
Audience	Academic
Author	Zhai, Lujun Cui, Suxia Wang, Yonghui Zhou, Yu
Author_xml	– sequence: 1 fullname: Zhai, Lujun – sequence: 2 fullname: Wang, Yonghui – sequence: 3 fullname: Zhou, Yu – sequence: 4 fullname: Cui, Suxia
BookMark	eNqFkctLXDEUxkOx4KPuui5DXepocs7N4y7FV4WBbuo65DlGZm6myRXpf9-M11YqLSWL5Bx-30f4vn2yM-QhEPKR0VPGOD8DCvQMJSpG1Tuyx4SS814i7Px-Q7dLDmtNllKktJNK7ZHP16nezy7DGNyY8jC7q2lYtjlsZotgytCmD-R9NKsaDl_uA3J3ffXt4st88fXm9uJ8MXddj-O8R269p9Yr5YM3iiPlkXsZHQXwAjvvo7S2B9thlM5HEQUieGshWHQWD8jt5OuzedCbktam_NDZJP28yGWpTRmTWwXNohWUSfAd8I71okcXAZlRAnrWO9O8jiavTcnfH0Md9UN-LEP7vgbktGk5p6_U0jTTNMQ8FuPWqTp9LoAxSQUVjTr9C9WOD-vkWgkxtf0fApgEruRaS4japdFs423CtNKM6m1jetuYfmmsiU7eiH4l8A_8eMLv0-DNU_of_WmiQ2NCNK80g22Q-BPVP6po
CitedBy_id	crossref_primary_10_1016_j_compag_2022_106985 crossref_primary_10_1109_ACCESS_2023_3250616 crossref_primary_10_1007_s11694_024_02381_5 crossref_primary_10_1016_j_procs_2025_03_104 crossref_primary_10_46989_001c_126850 crossref_primary_10_1155_2021_8847984 crossref_primary_10_1007_s10462_021_10025_z crossref_primary_10_1007_s10661_023_11472_7 crossref_primary_10_4018_IJCVIP_301605 crossref_primary_10_3389_fmars_2023_1150651 crossref_primary_10_3389_fmars_2022_840088 crossref_primary_10_1155_2020_8842390 crossref_primary_10_1111_age_13302 crossref_primary_10_1016_j_heliyon_2024_e35217 crossref_primary_10_1093_icesjms_fsad182 crossref_primary_10_29132_ijpas_1637721 crossref_primary_10_1088_2632_2153_abd51d crossref_primary_10_1155_2022_4818985 crossref_primary_10_3389_fmars_2023_1010761 crossref_primary_10_1007_s12393_022_09327_x crossref_primary_10_1016_j_cogsys_2025_101373 crossref_primary_10_1007_s00371_024_03630_w crossref_primary_10_1007_s42979_023_02043_1 crossref_primary_10_1016_j_aquaeng_2020_102117 crossref_primary_10_1002_ece3_7656 crossref_primary_10_1007_s11042_022_12502_1 crossref_primary_10_21015_vtess_v15i3_976 crossref_primary_10_1007_s10499_025_02069_7 crossref_primary_10_1016_j_eswa_2021_115051 crossref_primary_10_1007_s11042_024_18731_w crossref_primary_10_33889_IJMEMS_2024_9_6_080 crossref_primary_10_3389_fmars_2025_1525524
Cites_doi	10.1016/j.margeo.2014.03.012 10.1109/tip.2017.2717185 10.1016/j.eij.2015.01.003 10.1109/TNNLS.2018.2876865 10.1109/5.726791 10.1080/20464177.2015.1022382
ContentType	Journal Article
Copyright	Copyright © 2020 Suxia Cui et al. COPYRIGHT 2020 John Wiley & Sons, Inc. Copyright © 2020 Suxia Cui et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0
Copyright_xml	– notice: Copyright © 2020 Suxia Cui et al. – notice: COPYRIGHT 2020 John Wiley & Sons, Inc. – notice: Copyright © 2020 Suxia Cui et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0
DBID	ADJCN AHFXO RHU RHW RHX AAYXX CITATION 3V. 7SC 7XB 8AL 8FD 8FE 8FG 8FK ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU CWDGH DWQXO GNUQQ HCIFZ JQ2 K7- L7M L~C L~D M0N P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U DOA
DOI	10.1155/2020/3738108
DatabaseName	الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete Hindawi Publishing Complete Hindawi Publishing Subscription Journals Hindawi Publishing Open Access CrossRef ProQuest Central (Corporate) Computer and Information Systems Abstracts ProQuest Central (purchase pre-March 2016) Computing Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology collection ProQuest One Community College Middle East & Africa Database ProQuest Central ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Computing Database ProQuest advanced technologies & aerospace journals ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef Publicly Available Content Database Computer Science Database ProQuest Central Student Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences Middle East & Africa Database ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace Advanced Technologies & Aerospace Collection ProQuest Computing ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni)
DatabaseTitleList	CrossRef Publicly Available Content Database
Database_xml	– sequence: 1 dbid: RHX name: Hindawi Publishing Open Access url: http://www.hindawi.com/journals/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Sciences (General)
EISSN	1687-9732
Editor	Minutolo, Aniello
Editor_xml	– sequence: 1 givenname: Aniello surname: Minutolo fullname: Minutolo, Aniello
EndPage	13
ExternalDocumentID	oai_doaj_org_article_1fb60172d425419693cf231a862919ca A621170606 10_1155_2020_3738108 1126017
GeographicLocations	China
GeographicLocations_xml	– name: China
GrantInformation_xml	– fundername: National Science Foundation grantid: #1332566; #1827243; #1411260
GroupedDBID	0R~ 188 24P 2UF 4.4 5VS 6J9 8FE 8FG 8R4 8R5 AAFWJ AAKPC AAMMB ABUWG ACCMX ACIPV ADBBV ADDVE ADJCN AEFGJ AFKRA AFPKN AGXDD AHFXO AIDQK AIDYY ALMA_UNASSIGNED_HOLDINGS ARAPS AZQEC BCNDV BENPR BGLVJ BPHCQ C1A CCPQU CNMHZ CVCKV CWDGH DWQXO EBS EJD GNUQQ GROUPED_DOAJ H13 HCIFZ IAO ICD IEA IL9 ITC K6V K7- KQ8 OK1 P62 PHGZM PHGZT PIMPY PQGLB PQQKQ PROAC PUEGO Q2X RHU RNS TR2 TUXDW UZ4 3V. AAJEY AINHJ M0N M~E RHW RHX AAYXX AFFHD ALUQN CITATION 7SC 7XB 8AL 8FD 8FK JQ2 L7M L~C L~D PKEHL PQEST PQUKI PRINS Q9U
ID	FETCH-LOGICAL-c493t-935bdd0bd88deda85305f5d7fc022d634ddf7bb92b43f7cdf6f6332dbb2eb3cb3
IEDL.DBID	DOA
ISICitedReferencesCount	60
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000510866900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1687-9724
IngestDate	Fri Oct 03 12:51:46 EDT 2025 Fri Jul 25 20:59:49 EDT 2025 Wed Oct 16 18:06:02 EDT 2024 Tue Oct 15 04:48:40 EDT 2024 Sat Nov 29 03:05:37 EST 2025 Tue Nov 18 22:42:52 EST 2025 Sun Jun 02 18:55:00 EDT 2024 Thu Sep 25 15:16:02 EDT 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	2020
Language	English
License	This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c493t-935bdd0bd88deda85305f5d7fc022d634ddf7bb92b43f7cdf6f6332dbb2eb3cb3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0003-1152-3272
OpenAccessLink	https://doaj.org/article/1fb60172d425419693cf231a862919ca
PQID	2350017550
PQPubID	237331
PageCount	13
ParticipantIDs	doaj_primary_oai_doaj_org_article_1fb60172d425419693cf231a862919ca proquest_journals_2350017550 gale_infotracmisc_A621170606 gale_infotracacademiconefile_A621170606 crossref_citationtrail_10_1155_2020_3738108 crossref_primary_10_1155_2020_3738108 hindawi_primary_10_1155_2020_3738108 emarefa_primary_1126017
PublicationCentury	2000
PublicationDate	2020-00-00
PublicationDateYYYYMMDD	2020-01-01
PublicationDate_xml	– year: 2020 text: 2020-00-00
PublicationDecade	2020
PublicationPlace	Cairo, Egypt
PublicationPlace_xml	– name: Cairo, Egypt – name: New York
PublicationTitle	Applied Computational Intelligence and Soft Computing
PublicationYear	2020
Publisher	Hindawi Publishing Corporation Hindawi John Wiley & Sons, Inc Wiley
Publisher_xml	– name: Hindawi Publishing Corporation – name: Hindawi – name: John Wiley & Sons, Inc – name: Wiley
References	(22) 2012; 25 33 1 2 24 16 (19) 1998; 86 (35) 2014; 15
References_xml	– volume: 15 start-page: 1929 year: 2014 ident: 35 publication-title: Journal of Machine Learning Research – ident: 1 doi: 10.1016/j.margeo.2014.03.012 – ident: 33 doi: 10.1109/tip.2017.2717185 – volume: 25 start-page: 1106 year: 2012 ident: 22 publication-title: Advances in Neural Information Processing Systems – ident: 16 doi: 10.1016/j.eij.2015.01.003 – ident: 24 doi: 10.1109/TNNLS.2018.2876865 – volume: 86 start-page: 2278 issue: 11 year: 1998 ident: 19 publication-title: Proceedings of the IEEE doi: 10.1109/5.726791 – ident: 2 doi: 10.1080/20464177.2015.1022382
SSID	ssib003004788 ssj0000395709 ssib044730003
Score	2.4571884
Snippet	Recently, human being’s curiosity has been expanded from the land to the sky and the sea. Besides sending people to explore the ocean and outer space, robots... Recently, human being's curiosity has been expanded from the land to the sky and the sea. Besides sending people to explore the ocean and outer space, robots...
SourceID	doaj proquest gale crossref hindawi emarefa
SourceType	Open Website Aggregation Database Enrichment Source Index Database Publisher
StartPage	1
SubjectTerms	Algorithms Artificial neural networks Autonomous underwater vehicles Big Data Brain Computation Computer simulation Data augmentation Datasets Decision making Deep learning Digital cameras Electronic cameras Embedded systems Machine learning Medical imaging equipment Medical research Neural networks Optimization Researchers Robotics Robots Sensors Swimming pools Training Underwater exploration Underwear
SummonAdditionalLinks	– databaseName: Hindawi Publishing Open Access dbid: RHX link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3dS-QwEB9UPPDl8OPUnqsUUU6RYtOk6fbRT3wQEfFk30LzpQuyJ-6e_vvOZLOrq4g-ph3Sdibz1cz8ArClNas0xq2ZY85jgkLNyrlvMu1qLxsvjQm9VTfn1cVFu9OpLyNIUv_jFj56O0rP830C4GHU1DvdLmnxXp113izT_C0IvBCEwR43F4NBpr2oUOzBJKpUXRViVAL_bvoJ5xQw_EOjboPjZmyzf9xRtvzc_WC9g0s6nYefMZZMD4bCX4Ap11uEhait_XQnQkrvLsEmnXCeHrtBKLzqpaFQAMfuIY0Aq7e_4O_pyfXRWRZPR8iMqPkgq3mprc21bbetsw263bz0pa28QbdsJRfW-krrutCC-8pYL73kvLBaF5hAG82XYab3r-dWIfXSGomToLiE0BgyakKRz51wvDLM2wT2RmxRJkKH0wkW9yqkEGWpiIkqMjGB7TH1wxAy4xO6Q-LwmIaArsMFFL6KeqOY15LSVIu2RRCUDzceQ9IGE7Ga1aZJYCXK5_VZjGDSqgT-kLwUKSq-rGlivwF-MkFeqQNZsIAdJBNoTVCigpmJ21tR4l98Tmu0HFS0A31V8JLiAEwDf39vljWYo-HwJ08LZgaP_906zJqnQbf_uBHW_Qsto_HZ priority: 102 providerName: Hindawi Publishing – databaseName: Computer Science Database dbid: K7- link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB4VChIXyqOPwIKiigoqFBHHjr05VbQFVWqFemgRNyt-UaRqd9ndwt9nxutdFlUtB46OLSfOjD_P2ONvAPaMYcqg3Vp45gM6KHRZuQxtYXwTZBuktfFu1fk3dXbWvbhovqcNt1EKq5xiYgRq17e0R35U8ZoQFQ3qD4PrgrJG0elqSqGxAM9ZVTHS86-qmNPfcp4dXggiZ0-njhGp6ZAqRoEwiXOtUZWYxsbXNW0LlEdE_MMo9-TcqhXJ_eMN3hbL7QzMl3-RG3179Resx7Xq9MVTR7kGq8lKzY8narUOz3xvA9YTDozyg0RW_X4T3lLu9PyzH8eQrl4eQxCw7Ad5om69fAk_T09-fPpSpLwLhRUNHxcNr41zpXHdrvOuxQW9rEPtVLC44DvJhXNBGdNURvCgrAsySM4rZ0yFrrk1_BUs9vo9_wbyIJ2V2AkqghAGjVFD_PSlF54ry4LL4HD6X7VNpOSUG-O3js5JXWuSgk5SyODdrPVgQsbxj3YfSUSzNkShHR_0h5c6zUjNgpHkADtELUEkQdwGNHZbdPEa1tg2g9dJwPfvYkTApjLYJ4FrggD8WNummww4ZCLT0seyYpGVSGbQedASp659UL2XVOaR4XSmyqITwoz0vaZs_b96G1aos8m2UQcWx8M_fgeW7M34ajTcjRPmDmaiEkw priority: 102 providerName: ProQuest
Title	Fish Detection Using Deep Learning
URI	https://search.emarefa.net/detail/BIM-1126017 https://dx.doi.org/10.1155/2020/3738108 https://www.proquest.com/docview/2350017550 https://doaj.org/article/1fb60172d425419693cf231a862919ca
Volume	2020
WOSCitedRecordID	wos000510866900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000395709 issn: 1687-9724 databaseCode: DOA dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssib044730003 issn: 1687-9724 databaseCode: M~E dateStart: 20080101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000395709 issn: 1687-9724 databaseCode: P5Z dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: AUTh Library subscriptions: ProQuest Central customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000395709 issn: 1687-9724 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000395709 issn: 1687-9724 databaseCode: K7- dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Middle East & Africa Database customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000395709 issn: 1687-9724 databaseCode: CWDGH dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/middleeastafrica providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000395709 issn: 1687-9724 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVWIB databaseName: WIley Online Library Open Access customDbUrl: eissn: 1687-9732 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000395709 issn: 1687-9724 databaseCode: 24P dateStart: 20090101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3daxQxEB-kKvhSWr-69iyLVFRk6WaTTW4fW71S0R5LUTl9CZsvLZSz9M72zb_dmWzuvCLSF18C2YTdnclMMpNMfgOwawxTBu3WwjMf0EGhy8pl6ArjmyC7IK2Nd6s-f1Dj8XAyadqVVF8UE9bDA_eM22PBSPJTHAqXICwXbgPaJB1a4g1rbDSN0OpZcaZ6yS1XceGFIFj2dN4Y52g6norxH0yiljWqEouo-LqmDYFyjyB_GGWdXFmvIqx_vLvbYb1bTuN3v5MDfXX614QeV6nDDVhP5mW-35O1Cbf89D5sJgWe5S8TyvSrB_CMkp7nb_08xmJN8xg7gHV_nifM1W8P4dPh6OOboyIlTCisaPi8aHhtnCuNGw6ddx2uxGUdaqeCxZXaSS6cC8qYpjKCB2VdkEFyXjljKvSpreGPYG36Y-q3IA_SWYkvwREUwqAVaQhYvvTCc2VZcBm8XrBF24QmTkktznT0KupaExN1YmIGz5e9z3sUjX_0OyAOL_sQ9nV8gBKhk0TomyQig8dpfP58ixFymsrgBY2XJt3Fn7VduoKAJBMKlt6XFYtwQjKDwbWeqHP2WvNuGvEbyBksxEGnqWGmK16TaYCe4ZP_Qe023KNP9rtCA1ibX_z0T-GOvZyfzi524PbBaNye7ETtwPK9KrA8_jXCsq2_Ynv77rj9grWTo8lvD6sKnA
linkProvider	Directory of Open Access Journals
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VFgQXoDwNASzU8hCyanvXa_vAoTSUVA0RhwK9Ld5XqYSSkAQq_hS_kZnNOk2FgFMPHB2vNrZ35puZ3ZlvADaUykqFfmtiM-swQKFi5dQ1ibK1E40TWvvaqg_9cjCoDg_rdyvws62FobTKFhM9UJuRpj3yrZwVhKjoUIcMyn374wTjs-nLvS4u5mae774-2OkloYVAonnNZknNCmVMqkxVGWsatE1p4QpTOo22ywjGjXGlUnWuOHOlNk44wVhulMoxytSK4bxPxl8T6lJFp7mhZccFWKtEXaFGre187L7pLWlMusxHzznRwYdzTm8b6FjM551kArW7LnPeZuMXBW1EpFtENZRRt8slO-nbCfia4Qavm4X5uPSZAveT498MibeOu9f-t-96Ha4GPzzenivOOqzY4Q1YD0g3jZ8FOu7nN-ExdYePu3bmk9aGsU-ywGs7jgM57dEteH8uj38bVoejob0LsRNGC5wERZ1zhe62Igb-1HLLSp05E8GLdh2lDrTr1P3ji_ThV1FIWnUZVj2CzcXo8Zxu5A_jXpFILMYQSbj_YTQ5kgFzZOaUoBDfIC5zokFi2qE732AQW2e1biK4EwTq9L8yopgrI3hKAiYJ5PBhdRNqNfCViS5Mbos887xLIoLOmZEITvrM7Y0gov94nU4rnDJg6FSeSua9v99-BJd7B2_7sr832L8PV2ji-SZZB1Znk2_2AVzU32fH08nDoK4xfDpv4f4Ftt51BA
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6V8hAXoEDBEMBCrQBVVm3vw_EBoUKIqFJFPQDqbfG-SiWUhCRQ8df4dcxs1mkqBJx64Gjvar22v5nZ2Z35BmBL66LSuG7NXOE8OiiUrJz7JtOu9rLx0piQW_XxoBoOu0dH9eEa_GxzYSisstWJQVHbsaE98t2SCdKoxKrtY1jEYa__avI1owpSdNLaltNYQGTgfpyi-zZ7ud_Df71dlv2379-8y2KFgczwms2zmgltba5tt2udbdB05cILW3mDps1Kxq31ldZ1qTnzlbFeeslYabUu0Qk1muG4l-AyWmFBMjaoshXZyVeZ6TknYvh44hmsBB2QhQiUQqKc11XJ27h8IWhLIt8l0qGC6l6uWMxQWCBkDzd43SwNydXP5MKfnvxmUoKd7N_8n7_wLbgRV-fp3kKcNmDNjW7DRtR_s_R5JOl-cQeeUs34tOfmIZRtlIbQC7x2kzRS1h7fhQ8XMtdNWB-NR-4-pF5aI3EQFADONS7CNfHy5447VpnC2wR22n-qTCRjp5ogX1RwyoRQhAAVEZDA9rL3ZEFC8od-rwkeyz5EHR5ujKfHKmoiVXgtyfG3qK05kSMx43GR36BrWxe1aRK4F8F19qyCiOeqBJ4R2BSpPpysaWIGB74ykYipPVkWgY1JJtA51xNVljnXvBXh-o_X6bRAVVGzztQZSh_8vfkJXEP4qoP94eAhXKdxFztnHVifT7-5R3DFfJ-fzKaPg9ym8OmiYfwLbSB8Mw
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Fish+Detection+Using+Deep+Learning&rft.jtitle=Applied+computational+intelligence+and+soft+computing&rft.au=Cui%2C+Suxia&rft.au=Zhou%2C+Yu&rft.au=Wang%2C+Yonghui&rft.au=Zhai%2C+Lujun&rft.date=2020&rft.issn=1687-9724&rft.eissn=1687-9732&rft.volume=2020&rft.spage=1&rft.epage=13&rft_id=info:doi/10.1155%2F2020%2F3738108&rft.externalDBID=n%2Fa&rft.externalDocID=10_1155_2020_3738108
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1687-9724&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1687-9724&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1687-9724&client=summon