Results 11 to 20 of about 4,433,966 (292)

Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda.

Geospatial Health, 2023
As found in the health studies literature, the levels of climate association between epidemiological diseases have been found to vary across regions.
Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian   +6 more
doaj   +1 more source

Recursive Partitioning Methods to Examine the Effects of Physical Activity on Physical and Mental Health: A Case Study at One Public University in the United States

Physical Activity and Health, 2021
The purpose of this study was to examine the effects of physical activity (PA) on physical and mental health within an adult sample, while controlling for demographic characteristics. Data were analyzed from the 2018–2019 Exercise is Medicine® On Campus (
Samantha Robinson, Jessica Gilmore
doaj   +1 more source

The Importance of Being Variable [PDF]

The Journal of Neuroscience, 2011
New work suggests that blood oxygen level-dependent (BOLD) signal variability can be a much more powerful index of human age than mean activation, and that older brains are actually less variable than younger brains. However, little is known of how BOLD variability and task performance may relate.
Douglas D, Garrett, Natasa, Kovacevic, Anthony R, McIntosh, Cheryl L, Grady   +3 more
openaire   +2 more sources

Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices

Forecasting, 2022
In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among ...
Silvia Golia, Luigi Grossi, Matteo Pelagatti   +2 more
doaj   +1 more source

Identifying HIV sequences that escape antibody neutralization using random forests and collaborative targeted learning

Journal of Causal Inference, 2022
Recent studies have indicated that it is possible to protect individuals from HIV infection using passive infusion of monoclonal antibodies. However, in order for monoclonal antibodies to confer robust protection, the antibodies must be capable of ...
Jin Yutong, Benkeser David
doaj   +1 more source

Investigating the Effects of Cell Size in Statistical Landslide Susceptibility Modelling for Different Landslide Typologies: A Test in Central–Northern Sicily

Applied Sciences, 2023
Optimally sizing grid cells is a relevant research issue in landslide susceptibility evaluation. In fact, the size of the adopted mapping units influences several aspects spanning from statistical (the number of positive/negative cases and prevalence and
Chiara Martinello, Chiara Cappadonia, Edoardo Rotigliano   +2 more
doaj   +1 more source

Conditional variable importance for random forests [PDF]

BMC Bioinformatics, 2008
Random forests are becoming increasingly popular in many scientific fields because they can cope with ``small n large p'' problems, complex interactions and even highly correlated predictor variables. Their variable importance measures have recently been suggested as screening tools for, e.g., gene expression studies. However, these variable importance
Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin 0001, Achim Zeileis   +4 more
openaire   +8 more sources

Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis

Remote Sensing, 2021
Rapid and accurate crop aboveground biomass estimation is beneficial for high-throughput phenotyping and site-specific field management. This study explored the utility of high-definition digital images acquired by a low-flying unmanned aerial vehicle ...
Yuanyuan Fu, Guijun Yang, Xiaoyu Song, Zhenhong Li, Xingang Xu, Haikuan Feng, Chunjiang Zhao   +6 more
doaj   +1 more source

Remote Sensing Supported Sea Surface pCO₂ Estimation and Variable Analysis in the Baltic Sea

Remote Sensing, 2021
Marginal seas are a dynamic and still to large extent uncertain component of the global carbon cycle. The large temporal and spatial variations of sea-surface partial pressure of carbon dioxide (pCO2) in these areas are driven by multiple complex ...
Shuping Zhang, Anna Rutgersson, Petra Philipson, Marcus B. Wallin   +3 more
doaj   +1 more source

Combination of Landsat 8 OLI and Sentinel-1 SAR Time-Series Data for Mapping Paddy Fields in Parts of West and Central Java Provinces, Indonesia

ISPRS International Journal of Geo-Information, 2020
The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked seamless integration for multi-sensor and multi-temporal analysis, which is useful for the identification of land-cover classes based on their temporal ...
Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma, Raihan Rafif, Siti Saringatin, Pramaditya Wicaksono   +4 more
doaj   +1 more source