Zobrazeno 1 - 10
of 16
pro vyhledávání: '"E. Benami"'
Publikováno v:
Electronics Letters, Vol 57, Iss 8, Pp 347-350 (2021)
Abstract The authors present a strategy that improves the reliability of data transmission from multiple sources towards a destination D via multiple relays over wireless channels. After the broadcast phase, the destination selects the best cooperati
Externí odkaz:
https://doaj.org/article/ca653c1f5ee04f489e185d125ab7e1bb
Akademický článek
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Autor:
E. Benami, Michael R. Carter
Publikováno v:
Applied Economic Perspectives and Policy. 43:1196-1220
Rural microfinance must contend with the triple challenges of isolation, small‐scale transactions, and risk. These challenges result in information asymmetries and transaction costs that render markets for financial services costly or missing. This
Autor:
Benson Kipkemboi Kenduiywo, Michael R. Carter, Zhenong Jin, David B. Lobell, Robert J. Hijmans, Andrew Hobbs, Aniruddha Ghosh, E. Benami
Publikováno v:
Nature Reviews Earth & Environment. 2:140-159
The increasing availability of satellite data at higher spatial, temporal and spectral resolutions is enabling new applications in agriculture and economic development, including agricultural insurance. Yet, effectively using satellite data in this c
Publikováno v:
Environmental Research Letters, Vol 13, Iss 3, p 034037 (2018)
Global models of biophysical suitability for oil palm consistently rank Brazil as having the greatest potential for expansion, with estimates as high as 238 Mha of suitable lands. In 2010, Brazil launched the Sustainable Palm Oil Production Program (
Externí odkaz:
https://doaj.org/article/1263111daee04792bd972f5cb76c3a2d
Publikováno v:
FAccT
Government agencies are embracing machine learning to support a variety of resource allocation decisions. The U.S. Environmental Protection Agency (EPA), for example, has engaged academic research labs to test the use of machine learning in support o
Publikováno v:
Nature Sustainability. 1:583-588
Public agencies aiming to enforce environmental regulation have limited resources to achieve their objectives. We demonstrate how machine-learning methods can inform the efficient use of these limited resources while accounting for real-world concern
Autor:
A Venturieri, J Kneipp, A Swartos, Robson Maia Franco, Lisa M. Curran, E. Benami, Mark A. Cochrane
Publikováno v:
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Global models of biophysical suitability for oil palm consistently rank Brazil as having the greatest potential for expansion, with estimates as high as 238 Mha of suitable lands. In 2010, Brazil launched the Sustainable Palm Oil Production Program (
Publikováno v:
Energy-Based Economic Development ISBN: 9781447163404
Energy-Based Economic Development
Energy-Based Economic Development
In recent years, energy has become much more of a driver of new paths to economic development than an enabler of growth. Accordingly, governments and the private sector are investing billions of dollars annually in low-emissions energy development an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f453449eb843adc07fddee031e3782b
https://doi.org/10.1007/978-1-4471-6341-1_1
https://doi.org/10.1007/978-1-4471-6341-1_1
Akademický článek
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