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ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy.
Andleeb, Saiqa; Abbasi, Wajid Arshad; Ghulam Mustafa, Rozina; Islam, Ghafoor Ul; Naseer, Anum; Shafique, Irsa; Parween, Asma; Shaheen, Bushra; Shafiq, Muhamad; Altaf, Muhammad; Ali Abbas, Syed.
Afiliação
  • Andleeb S; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Abbasi WA; Computaional Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Ghulam Mustafa R; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Islam GU; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Naseer A; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Shafique I; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Parween A; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Shaheen B; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Shafiq M; Environmental Protection Agency (AJK-EPA), Government of Azad Jammu and Kashmir, Muzaffarabad, AJ&K, Pakistan.
  • Altaf M; Department of Forestry Range and Wildlife Management, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
  • Ali Abbas S; Computaional Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan.
PLoS One ; 16(9): e0255674, 2021.
Article em En | MEDLINE | ID: mdl-34529673

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligoquetos / Processamento de Imagem Assistida por Computador / Fotografação / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Paquistão

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligoquetos / Processamento de Imagem Assistida por Computador / Fotografação / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Paquistão