Results 41 to 50 of about 4,433,966 (292)

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

Performance Pay and Multidimensional Sorting - Productivity, Preferences and Gender [PDF]

, 2010
This paper studies the impact of incentives on worker self-selection in a controlled laboratory experiment. Subjects face the choice between a fixed and a variable payment scheme.
Armin Falk, Chiappori Pierre-André, Fehr Ernst, MacLeod W. Bentley, Nalbantian Haig R, Thomas Dohmen   +5 more
core   +8 more sources

Physical activity - an important preanalytical variable [PDF]

Biochemia Medica, 2014
The concentration of several biochemical and hematological biomarkers is strongly influenced by a number of preanalytical variables. Several lines of evidence attest that short, middle, and long-term exercise, as well as the relative intensity of physical effort (from mild to strenuous), may influence a broad array of laboratory variables.
Sanchis Gomar F, LIPPI, Giuseppe
openaire   +3 more sources

Identifying Critical Drivers of Mango, Tomato, and Maize Postharvest Losses (PHL) in Low-Income Countries and Predicting Their Impact

Agriculture, 2023
Several studies have identified a host of factors to be considered when attempting to reduce food postharvest loss (PHL). However, very few studies have ranked those factors by their importance in driving PHL.
Hory Chikez, Dirk Maier, Sigurdur Olafsson, Steve Sonka   +3 more
doaj   +1 more source

Learning variable importance to guide recombination [PDF]

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
In evolutionary multi-objective optimization, variation operators are crucially important to produce improving solutions, hence leading the search towards the most promising regions of the solution space. In this paper, we propose to use a machine learning modeling technique, namely random forest, in order to estimate, at each iteration in the course ...
Sagawa, Miyako, Aguirre, Hernan, Daolio, Fabio, Liefooghe, Arnaud, Derbel, Bilel, Verel, Sébastien, Tanaka, Kiyoshi   +6 more
openaire   +2 more sources

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

Proper identification of RR Lyrae Stars brighter than 12.5 mag [PDF]

, 2005
RR Lyrae stars are of great importance for investigations of Galactic structure. However, a complete compendium of all RR-Lyraes in the solar neighbourhood with accurate classifications and coordinates does not exist to this day.
Altmann, Altmann, Altmann, Beers, Dambis, de Boer, Fernley, G. Maintz, Layden, Layden, Maintz, Martin, Mennessier, Schmidt   +13 more
core   +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

Variable selection for the multicategory SVM via adaptive sup-norm regularization [PDF]

, 2008
The Support Vector Machine (SVM) is a popular classification paradigm in machine learning and has achieved great success in real applications. However, the standard SVM can not select variables automatically and therefore its solution typically utilizes ...
Liu, Yufeng, Wu, Yichao, Zhang, Hao Helen, Zhu, Ji   +3 more
core   +3 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source