Cargando…
Semi-Supervised Text Classification Framework: An Overview of Dengue Landscape Factors and Satellite Earth Observation
In recent years there has been an increasing use of satellite Earth observation (EO) data in dengue research, in particular the identification of landscape factors affecting dengue transmission. Summarizing landscape factors and satellite EO data sources, and making the information public are helpfu...
Autores principales: | Li, Zhichao, Gurgel, Helen, Dessay, Nadine, Hu, Luojia, Xu, Lei, Gong, Peng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344967/ https://www.ncbi.nlm.nih.gov/pubmed/32585932 http://dx.doi.org/10.3390/ijerph17124509 |
Ejemplares similares
-
A review of semi-supervised learning for text classification
por: Duarte, José Marcio, et al.
Publicado: (2023) -
A semi-supervised machine learning framework for microRNA classification
por: Sheikh Hassani, Mohsen, et al.
Publicado: (2019) -
An interpretable semi-supervised framework for patch-based classification of breast cancer
por: Shawi, Radwa El, et al.
Publicado: (2022) -
A novel semi-supervised framework for UAV based crop/weed classification
por: Khan, Shahbaz, et al.
Publicado: (2021) -
Urban Land Expansion from Scratch to Urban Agglomeration in the Federal District of Brazil in the Past 60 Years
por: Li, Zhichao, et al.
Publicado: (2022)