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OpenAlex konusu

Lepidoptera: Biology and Taxonomy

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 1.402 eser 58 yazar konusu

Çalışmalar

1.402 eser

  1. OpenAlex üst %10 OpenAlex 98.1%

    Summary 1. Despite great concern about the effects of fragmentation on biodiversity, quantitative studies are still scarce with respect to many major groups and important environments. Well‐studied natural reference sites are few. 2. Extensive light trapping surveys for moths were thus carried out in both dry and wet…

  2. OpenAlex üst %10 OpenAlex 98.2%

    Butterflies in the large Palearctic genus Agrodiaetus (Lepidoptera: Lycaenidae) are extremely uniform and exhibit few distinguishing morphological characters. However, these insects are distinctive in one respect: as a group they possess among the greatest interspecific karyotype diversity in the animal kingdom, with…

  3. YÖKSİS OpenAlex üst %10 OpenAlex 91.9%

    Özet henüz yok.

  4. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  5. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  6. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  7. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.2%

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  8. YÖKSİS OpenAlex üst %10 OpenAlex 97.2%

    In this study, we present an application of extreme learning machine (ELM) and image processing techniques for identifying butterfly species as an alternative to conventional diagnostic methods. This paper evaluates the capability of butterfly species classification by using texture features of butterfly images. Two t…

  9. YÖKSİS SJR Q3 JCR Q3 OpenAlex üst %10 OpenAlex 97.2%

    In this study, we present an application of extreme learning machine (ELM) and image processing techniques for identifying butterfly species as an alternative to conventional diagnostic methods. This paper evaluates the capability of butterfly species classification by using texture features of butterfly images. Two t…

  10. YÖKSİS SJR Q3 JCR Q3 OpenAlex üst %10 OpenAlex 97.2%

    In this study, we present an application of extreme learning machine (ELM) and image processing techniques for identifying butterfly species as an alternative to conventional diagnostic methods. This paper evaluates the capability of butterfly species classification by using texture features of butterfly images. Two t…

  11. YÖKSİS SJR Q4 JCR Q4 OpenAlex 89.4%

    The Zygaenidae fauna of the Thrace Region (European Turkey) was studied by using attractant traps as well as by netting specimens in biotopes. Esters of 2-dodecenoic acid and stereoisomers of 2-butanol were used as sex attractants. Sixteen Zygaenidae species from five genera were found: Theresimima Strand, 1917 (1 spe…

  12. YÖKSİS SJR Q4 JCR Q4 OpenAlex 89.4%

    The Zygaenidae fauna of the Thrace Region (European Turkey) was studied by using attractant traps as well as by netting specimens in biotopes. Esters of 2-dodecenoic acid and stereoisomers of 2-butanol were used as sex attractants. Sixteen Zygaenidae species from five genera were found: Theresimima Strand, 1917 (1 spe…

Akademisyenler

58 akademisyen