In one paragraphArticle in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Alene Santos SouzaDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0002-1450-2197 Adriano Carvalho CostaDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0003-1279-9756 Heyde Francielle do Carmo FrançaDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0002-2696-1083 Joel Jorge NuvungaCenter of Excellence in Agri-Food Systems and Nutrition, Eduardo Mondlane University, Julius Nyerere, n° 3453, Maputo P.O. Box 257, Mozambique.ORCID 0000-0001-6593-4136 Gidélia Araújo Ferreira de MeloDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0009-0003-2527-9327 Lessandro do Carmo LimaDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0003-4597-6034 Vitória de Vasconcelos KretschmerDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0009-0001-7333-9457 Débora Ázara de OliveiraDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.
Liege Dauny HornDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0002-3813-5109 Isabel Rodrigues de RezendeDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0002-8555-0567 Marília Parreira FernandesDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0002-3229-2226 Rafael Vilhena Reis NetoDepartment of Science Animal, State University Paulista Júlio de Mesquita Filho, Nelson Brihi Badur, 480, Registro 11900-000, SP, Brazil.ORCID 0000-0002-4192-3982 Rilke Tadeu Fonseca de FreitasDepartment of Science Animal, Federal University of Lavras, Ignácio Valentin, Lavras 37200-900, MG, Brazil.ORCID 0000-0002-3035-5238 Rodrigo Fortunato de OliveiraDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0001-9608-5827 Pedro Henrique ViadannaDepartment of Biological Sciences, College of Arts and Sciences, Washington State University, Pullman, WA 99163, USA.ORCID 0000-0001-8171-4053 Brenno Muller VitorinoDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.
Cibele Silva MinafraDepartment of Science Animal, Federal Institute of Education, Science and Technology of Goiás (IF Goiano), Campus Rio Verde, Goiana South Highway, Km 01, Rio Verde 75901-970, GO, Brazil.ORCID 0000-0002-4286-2982 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Identifying and counting fish are crucial for managing stocking, harvesting, and marketing of farmed fish. Researchers have used convolutional networks for these tasks and explored various approaches to enhance network learning. Batch normalization is one technique that improves network stability and accuracy. This study aimed to evaluate machine learning for identifying and counting pirapitinga
Indexed as
aquacultureautomationdetection algorithmneural networkSouth American round fish
Identifiers
PMID39457929
PMCPMC11506512
What OpenQuestion holds
Textmetadata
LicenceCC BY
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