Results 51 to 60 of about 32,345 (261)
Remote Sensing, 2017 Spatial prediction of precipitation with high resolution is a challenging task in regions with strong climate variability and scarce monitoring. For this purpose, the quasi-continuous supply of information from satellite imagery is commonly used to ...
Jacinto Ulloa +3 more
doaj +1 more source
Nonparametric Methods in Astronomy: Think, Regress, Observe -- Pick Any Three [PDF]
, 2018 Telescopes are much more expensive than astronomers, so it is essential to minimize required sample sizes by using the most data-efficient statistical methods possible.
Jermyn, Adam S., Steinhardt, Charles L.
core +2 more sources
ISPRS International Journal of Geo-Information, 2016 Accuracy is increasingly recognized as an important dimension in geospatial information and analyses. A strategy well suited for map users who usually have limited information about map lineages is proposed for location-specific characterization of ...
Jingxiong Zhang, Yingying Mei
doaj +1 more source
An adjoint for likelihood maximization [PDF]
, 2009 The process of likelihood maximization can be found in many different areas of computational modelling. However, the construction of such models via likelihood maximization requires the solution of a difficult multi-modal optimization problem involving ...
Alexander I J Forrester +5 more
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Spatio-temporal regression kriging for modelling urban NO2 concentrations [PDF]
International Journal of Geographical Information Science, 2019 Recently developed urban air quality sensor networks are used to monitor air pollutant concentrations at a fine spatial and temporal resolution. The measurements are however limited to point support. To obtain areal coverage in space and time, interpolation is required.
Vera van Zoest +3 more
openaire +2 more sources
Soil depth prediction supported by primary terrain attributes: a comparison of methods
Plant, Soil and Environment, 2006 The objective of this study was to investigate the benefits of methods that incorporate terrain attributes as covariates into the prediction of soil depth.
V. Penížek, L. Borůvka
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Fractal and FractionalAnalyzing geological profiles is of great importance for various applications such as natural resource management, environmental assessment, and mining engineering projects.
Qile Ding +7 more
doaj +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu +5 more
wiley +1 more source
Reliability assessment of cutting tool life based on surrogate approximation methods [PDF]
, 2014 A novel reliability estimation approach to the cutting tools based on advanced approximation methods is proposed. Methods such as the stochastic response surface and surrogate modeling are tested, starting from a few sample points obtained through ...
Kolios, Athanasios +1 more
core +1 more source