Results 21 to 30 of about 1,459,822 (215)

A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)

Remote Sensing, 2017
Sentinel-2 images are expected to improve global crop monitoring even in challenging tropical small agricultural systems that are characterized by high intra- and inter-field spatial variability and where satellite observations are disturbed by the ...
Valentine Lebourgeois, Stéphane Dupuy, Élodie Vintrou, Maël Ameline, Suzanne Butler, Agnès Bégué   +5 more
doaj   +1 more source

NeuralSens: Sensitivity Analysis of Neural Networks

Journal of Statistical Software, 2022
This article presents the NeuralSens package that can be used to perform sensitivity analysis of neural networks using the partial derivatives method. The main function of the package calculates the partial derivatives of the output with regard to the ...
Jaime Pizarroso, José Portela, Antonio Muñoz   +2 more
doaj   +1 more source

Effectiveness of Variable Selection Methods for Machine Learning and Classical Statistical Models

Quantitative Methods in Economics
In line with new international financial supervision directives (IFRS9), banks should look at a new set of analytical tools, such as machine learning. The introduction of these methods into banking practice requires reformulation of business goals, both
Urszula Grzybowska, Marek Karwański
doaj   +1 more source

Climatic Drivers of Plant Species Distributions Across Spatial Grains in Southern Africa Tropical Forests

Frontiers in Forests and Global Change, 2019
Understanding the importance of climate in determining species distribution and how it might change as a function of spatial grain size is a vital issue for species distribution modeling (SDM), yet it is often not accounted for in models and has not been
Boipelo Tshwene-Mauchaza, Jesús Aguirre-Gutiérrez, Jesús Aguirre-Gutiérrez   +2 more
doaj   +1 more source

Non-Intrusive Identification of Loads by Random Forest and Fireworks Optimization

IEEE Access, 2020
The control of expenses related to electricity has been showing significant growth, especially in residential environments. Monitoring of electrical loads that are turning on and off from home are often performed using smart plugs, providing to the ...
Paulo Ricardo Zambelli Taveira, Carlos Henrique Valerio De Moraes, Germano Lambert-Torres   +2 more
doaj   +1 more source

A Novel Traffic Speed Prediction for Road Weaving Sections: Incorporating Traffic Flow Characteristics

Promet (Zagreb)
Weaving sections on roads are crucial areas with high concentrations of mandatory lane changes, which can increase the likelihood of traffic accidents.
Yuming ZHOU, Min ZHANG, Chi ZHANG, Zilong XIE, Bo WANG   +4 more
doaj   +1 more source

Impacts of Soil Properties, Topography, and Environmental Features on Soil Water Holding Capacities (SWHCs) and Their Interrelationships

Land, 2021
Soil water holding capacities (SWHCs) are among the most important factors for understanding the water cycle in forested catchments because they control available plant water that supports evapotranspiration.
Hyunje Yang, Hyeonju Yoo, Honggeun Lim, Jaehoon Kim, Hyung Tae Choi   +4 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Partially fixed bayesian additive regression trees

Statistical Theory and Related Fields
Bayesian Additive Regression Trees (BART) is a widely popular nonparametric regression model known for its accurate prediction capabilities. In certain situations, there is knowledge suggesting the existence of certain dominant variables.
Hao Ran, Yang Bai
doaj   +1 more source

Retrieval and Mapping of Soil Organic Carbon Using Sentinel-2A Spectral Images from Bare Cropland in Autumn

Remote Sensing, 2021
Soil is the largest carbon reservoir on the terrestrial surface. Soil organic carbon (SOC) not only regulates global climate change, but also indicates soil fertility level in croplands.
Ke Wang, Yanbing Qi, Wenjing Guo, Jielin Zhang, Qingrui Chang   +4 more
doaj   +1 more source