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pro vyhledávání: '"ANGELOV, Boyan"'
Autor:
Angelov, Boyan
Publikováno v:
Списание „Везни“ / Libra Magazine. XXIII(4):110-116
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1127869
Autor:
Angelov, Boyan
This working paper showcases the potential of useful application of the "abstraction levels" method from computer science in other domains, as a part of a systems thinking toolkit.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d06f1439bc88dfdcabeab0d26ad88fb
Species distribution models (SDMs) are widely used in ecology, biogeography and conservation biology to estimate relationships between environmental variables and species occurrence data and make predictions of how their distributions vary in space a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf2adf0d33a23c45532ed5d53f510494
https://doi.org/10.32942/osf.io/w96pk
https://doi.org/10.32942/osf.io/w96pk
Autor:
Ryo, Masahiro, Angelov, Boyan, Mammola, Stefano, Kass, Jamie M., Benito, Blas M., Hartig, Florian
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Ecography, 44:199–205
Ecography (Cop.) 44 (2021): 199–205. doi:10.1111/ecog.05360
info:cnr-pdr/source/autori:Ryo, Masahiro; Angelov, Boyan; Mammola, Stefano; Kass, Jamie M.; Benito, Blas M.; Hartig, Florian/titolo:Explainable artificial intelligence enhances the ecological interpretability of black-box species distribution models/doi:10.1111%2Fecog.05360/rivista:Ecography (Cop.)/anno:2021/pagina_da:199/pagina_a:205/intervallo_pagine:199–205/volume:44
Universidad de Alicante (UA)
Ecography, 44:199–205
Ecography (Cop.) 44 (2021): 199–205. doi:10.1111/ecog.05360
info:cnr-pdr/source/autori:Ryo, Masahiro; Angelov, Boyan; Mammola, Stefano; Kass, Jamie M.; Benito, Blas M.; Hartig, Florian/titolo:Explainable artificial intelligence enhances the ecological interpretability of black-box species distribution models/doi:10.1111%2Fecog.05360/rivista:Ecography (Cop.)/anno:2021/pagina_da:199/pagina_a:205/intervallo_pagine:199–205/volume:44
Species distribution models (SDMs) are widely used in ecology, biogeography and conservation biology to estimate relationships between environmental variables and species occurrence data and make predictions of how their distributions vary in space a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9974208b88b332379bd95ba160bf10f1
Autor:
Ryo, Masahiro, Angelov, Boyan, Mammola, Stefano, Kass, Jamie M., Benito, Blas M., Hartig, Florian
Publikováno v:
Ecography; Feb2021, Vol. 44 Issue 2, p199-205, 7p
Autor:
ANGELOVA-ROMOVA, Maria, KOLEVA, Anna, ANTOVA, Ginka, ZLATANOV, Magdalen, STOYANOVA, Magdalena, Dobreva, Krasimira, Denev, Panteley, DAMİANOVA, Stanka, ANGELOV, Boyan, STOYANOVA, Albena
Publikováno v:
Volume: 12, Issue: 2 101-111
Trakya Üniversitesi Fen Bilimleri Dergisi
Trakya Üniversitesi Fen Bilimleri Dergisi
The chemical composition of seeds from paulownia (Paulownia tomentosa) was investigated. The main components in the triacylglycerol fraction of the oil were linoleic (64.1%), oleic (21.2%) and palmitic acids (7.3%). ?-Tocopherol (approx. 100.0%) pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::d2cd244ace33302d92f83d18f1c2a862
https://dergipark.org.tr/tr/pub/trakyafbd/issue/23018/246128
https://dergipark.org.tr/tr/pub/trakyafbd/issue/23018/246128