Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ethan White"'
Autor:
Eric Peterman, Elgene J. A. Quitevis, Erik C. Black, Emma C. Horton, Rune L. Aelmore, Ethan White, Alvaro Sagasti, Jeffrey P. Rasmussen
Publikováno v:
Disease Models & Mechanisms, Vol 16, Iss 4 (2023)
Externí odkaz:
https://doaj.org/article/b4d85b592d8b4da2a75219f6118faa4d
Autor:
Ethan White
Publikováno v:
Research Ideas and Outcomes, Vol 2, Iss , Pp 1-5 (2016)
Externí odkaz:
https://doaj.org/article/62d7960b02d04a3c93a38498720d8073
Autor:
Tracy K. Teal, Karen A. Cranston, Hilmar Lapp, Ethan White, Greg Wilson, Karthik Ram, Aleksandra Pawlik
Publikováno v:
International Journal of Digital Curation, Vol 10, Iss 1, Pp 135-143 (2015)
In many domains the rapid generation of large amounts of data is fundamentally changing how research is done. The deluge of data presents great opportunities, but also many challenges in managing, analyzing and sharing data. However, good training re
Externí odkaz:
https://doaj.org/article/66d8eb063d2f4379afb75d2b83f4ff8b
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1309 (2019)
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry surveys. Data acquisition currently outpaces the ability to identify individual organisms in high resolution imagery. We outline an approach for identifying tree-cro
Externí odkaz:
https://doaj.org/article/90564257bb934538855e7ebc565dbacb
Publikováno v:
Journal of Biogeography. 49:1629-1639
Autor:
Nicholas Clark, SKM Ernest, Henry Senyondo, Juniper Simonis, Ethan White, Glenda Yenni, KANK Karunarathna
Ecological communities are dynamic. These dynamics are influenced by many sources of variation, making it difficult to understand or predict future change. Biotic interactions, and other sources of multi-species dependence, are major contributors. Bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2885d0cca221e6eb2455dc13c15d51e5
https://doi.org/10.32942/x2ts34
https://doi.org/10.32942/x2ts34
Autor:
Ira Harmon, Sergio Marconi, Ben Weinstein, Yang Bai, Daisy Zhe Wang, Ethan White, Stephanie Bohlman
Forest inventory forms the foundation of forest management. Remote sensing (RS) is an efficient means of measuring forest parameters at scale. Remotely sensed species classification can be used to estimate species abundances, distributions, and to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a5f0ba606b5540fdaf98799759c083
https://doi.org/10.36227/techrxiv.21760670
https://doi.org/10.36227/techrxiv.21760670
Ecological Dynamics and Forecasting is a semester-long course to introduce students to the fundamentals of ecological dynamics and forecasting. This course implements a combination of paper-based discussion to introduce students to concepts and ideas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dda7391215f61faa1e4108d2980c8389
https://doi.org/10.32942/x2b88h
https://doi.org/10.32942/x2b88h
Autor:
Ashwin Tunga, Kexin Li, Ethan White, Nicholas C. Miller, Matt Grupen, John D. Albrecht, Shaloo Rakheja
Various simulations of a GaN HEMT are used to study the behaviors of two different energy-transport models: the Fermi kinetics transport model and a hydrodynamics transport model as it is implemented in the device simulator Sentaurus from Synopsys. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4b0e5458f2ed58f221563ba08479113
http://arxiv.org/abs/2208.03576
http://arxiv.org/abs/2208.03576
Autor:
Ira Harmon, Sergio Marconi, Ben Weinstein, Sarah Graves, Daisy Zhe Wang, Alina Zare, Stephanie Bohlman, Aditya Singh, Ethan White
Automated individual tree crown (ITC) delineation plays an important role in forest remote sensing. Accurate ITC delineation benefits biomass estimation, allometry estimation, and species classification among other forest related tasks, all of which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6561db1e6e78d94a94f2bf35fb70ff49
https://doi.org/10.36227/techrxiv.20323698.v1
https://doi.org/10.36227/techrxiv.20323698.v1