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035 a| (Sirsi) o1596269844;

035 a| (OCoLC)1596269844;

043 a| n-us-ak;

049 a| ERE#;

074 a| 0609-C-42 (online);

086 0 a| C 55.326/2:2023-01;

100 1 a| Lee Son, G. S.,e| author.?| UNAUTHORIZED;

245 10 a| Development of Electronic monitoring (EM) computer vision systems and machine learning algorithms for automated catch accounting in Alaska fisheries /c| G. S. Lee Son [and seven others].;

264 1 a| Seattle, WA :b| Fisheries Monitoring and Analysis Division, Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration,c| 2023.;

300 a| 1 online resource (xiv, 113 pages) :b| color illustrations.;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| AFSC processed report ;v| 2023-01;

500 a| "March 2023.";

500 a| This is a publication issued by the United States federal government or produced with federal funds.;

500 a| In scope of the U.S. Government Publishing Office Catalog and Indexing Program (C&I) and Federal Depository Library Program (FDLP).;

504 a| Includes bibliographical references (pages 111-113).;

588 a| Description based on online resource; title from PDF title page (NOAA, viewed June 16, 2026).;

650 0 a| Electronic monitoring in fisheriesz| Alaska.=| ^A1017516;

650 0 a| Fishery managementx| Technological innovationsz| Alaska.=| ^A56285;

650 0 a| Fisheriesx| Computer programs.=| ^A702899;

650 0 a| Supervised learning (Machine learning)z| Alaska.=| ^A719462;

710 2 a| Alaska Fisheries Science Center (U.S.).b| Fisheries Monitoring and Analysis Division,e| issuing body.=| ^A1447015;

830 0 a| AFSC processed report ;v| 2023-01.=| ^A1353384;

856 40 u| https://purl.fdlp.gov/GPO/gpo2572367| 0;

856 4 z| Address at time of PURL creationu| https://repository.library.noaa.gov/view/noaa/49143;

949 a| Click on web addressw| asish| joyner94o| jjlm;

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955 a| BC104 20260616b| 20260616;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6737696-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 7/15/2026x| EDOCUMENTz| JERESOURCEo| .STAFF. jjlm;

Development of Electronic monitoring (EM) computer vision systems and machine learning algorithms for automated catch accounting in Alaska fisheries / G. S. Lee Son [and seven others].

Author/creator	Lee Son, G. S. author.
Other author	Alaska Fisheries Science Center (U.S.). Fisheries Monitoring and Analysis Division, issuing body.
Format	Electronic
Publication	Seattle, WA : Fisheries Monitoring and Analysis Division, Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2023.
Description	1 online resource (xiv, 113 pages) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo257236
Supplemental Content	Address at time of PURL creation
Subjects	Electronic monitoring in fisheries--Alaska. Fishery management--Technological innovations. --Alaska. Fisheries--Computer programs. Supervised learning (Machine learning)--Alaska.

Series	AFSC processed report ; 2023-01 AFSC processed report ; 2023-01. ^A1353384
General note	"March 2023."
General note	This is a publication issued by the United States federal government or produced with federal funds.
General note	In scope of the U.S. Government Publishing Office Catalog and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
Bibliography note	Includes bibliographical references (pages 111-113).
Source of description	Description based on online resource; title from PDF title page (NOAA, viewed June 16, 2026).
GPO item number	0609-C-42 (online)
Govt. docs number	C 55.326/2:2023-01

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Online Content https://purl.fdlp.gov/GPO/gpo257236 Address at time of PURL creation	✔ Available

Development of Electronic monitoring (EM) computer vision systems and machine learning algorithms for automated catch accounting in Alaska fisheries / G. S. Lee Son [and seven others].

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