Results 31 to 40 of about 1,198,610 (285)

Accurate Prediction of Earthquake-Induced Landslides Based on Deep Learning Considering Landslide Source Area

open access: yesRemote Sensing, 2021
An earthquake-induced landslide (EQIL) is a rapidly changing process occurring at the Earth’s surface that is strongly controlled by the earthquake in question and predisposing conditions.
Yao Li   +6 more
doaj   +1 more source

Performance of Spatial Diversity DCO-OFDM in a Weak Turbulence Underwater Visible Light Communication Channel [PDF]

open access: yes, 2020
The performance of underwater visible light communication (UVLC) system is severely affected by absorption, scattering and turbulence. In this article, we study the performance of spectral efficient DC-biased optical orthogonal frequency division ...
Ahmad, Zahir   +5 more
core   +3 more sources

Mapping Understory Vegetation Density in Mediterranean Forests: Insights from Airborne and Terrestrial Laser Scanning Integration

open access: yesSensors, 2023
The understory is an essential ecological and structural component of forest ecosystems. The lack of efficient, accurate, and objective methods for evaluating and quantifying the spatial spread of understory characteristics over large areas is a ...
Carlotta Ferrara   +3 more
doaj   +1 more source

Mapping of Soil pH Based on SVM-RFE Feature Selection Algorithm

open access: yesAgronomy, 2022
The explicit mapping of spatial soil pH is beneficial to evaluate the effects of land-use changes in soil quality. Digital soil mapping methods based on machine learning have been considered one effective way to predict the spatial distribution of soil ...
Jia Guo, Ku Wang, Shaofei Jin
doaj   +1 more source

Sequential Empirical Bayes method for filtering dynamic spatiotemporal processes [PDF]

open access: yes, 2017
We consider online prediction of a latent dynamic spatiotemporal process and estimation of the associated model parameters based on noisy data. The problem is motivated by the analysis of spatial data arriving in real-time and the current parameter ...
Evangelou, Evangelos   +1 more
core   +2 more sources

On spatial selectivity and prediction across conditions with fMRI [PDF]

open access: yes, 2012
Researchers in functional neuroimaging mostly use activation coordinates to formulate their hypotheses. Instead, we propose to use the full statistical images to define regions of interest (ROIs).
Schwartz, Yannick   +2 more
core   +4 more sources

Multivariable spatial prediction [PDF]

open access: yesMathematical Geology, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ver Hoef, Jay, Cressie, Noel A
openaire   +2 more sources

Mapping Coral Reef Resilience Indicators Using Field and Remotely Sensed Data

open access: yesRemote Sensing, 2013
In the face of increasing climate-related impacts on coral reefs, the integration of ecosystem resilience into marine conservation planning has become a priority.
Stuart Phinn   +4 more
doaj   +1 more source

Statistical Modeling Approaches for PM10 Prediction in Urban Areas; A Review of 21st-Century Studies

open access: yesAtmosphere, 2016
PM10 prediction has attracted special legislative and scientific attention due to its harmful effects on human health. Statistical techniques have the potential for high-accuracy PM10 prediction and accordingly, previous studies on statistical methods ...
Hamid Taheri Shahraiyni, Sahar Sodoudi
doaj   +1 more source

Meaningful spatial prediction and aggregation

open access: yesEnvironmental Modelling & Software, 2014
AbstractThe appropriateness of spatial prediction methods such as Kriging, or aggregation methods such as summing observation values over an area, is currently judged by domain experts using their knowledge and expertise. In order to provide support from information systems for automatically discouraging or proposing prediction or aggregation methods ...
Christoph Stasch   +3 more
openaire   +1 more source

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