Cargando…
Multi-Type Sensor Placements in Gaussian Spatial Fields for Environmental Monitoring †
As citizens are increasingly concerned about the surrounding environment, it is important for modern cities to provide sufficient and accurate environmental information to the public for decision making in the era of smart cities. Due to the limited budget, we often need to optimize the sensor place...
Autores principales: | Sun, Chenxi, Yu, Yangwen, Li, Victor O. K., Lam, Jacqueline C. K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339194/ https://www.ncbi.nlm.nih.gov/pubmed/30621075 http://dx.doi.org/10.3390/s19010189 |
Ejemplares similares
-
Optimal 3D Angle of Arrival Sensor Placement with Gaussian Priors
por: Zhou, Rongyan, et al.
Publicado: (2021) -
What dictates income in New York City? SHAP analysis of income estimation based on Socio-economic and Spatial Information Gaussian Processes (SSIG)
por: Bai, Ruiqiao, et al.
Publicado: (2023) -
Modelling spatial variation in disease risk using Gaussian Markov random field proxies for Gaussian random fields
por: Follestad, T, et al.
Publicado: (2003) -
Gaussian Markov Random Field Models With Applications in Spatial Statistics
por: Rue, H, et al.
Publicado: (2003) -
Spatial Warped Gaussian Processes: Estimation and Efficient Field Reconstruction
por: Peters, Gareth W., et al.
Publicado: (2021)