The contribution of nitrogen deposition to the eutrophication signal in understorey plant communities of European forests
Sign Up to like & getrecommendations! Published in 2017 at "Ecology and Evolution"
DOI: 10.1002/ece3.2485
Abstract: Abstract We evaluated effects of atmospheric deposition of nitrogen on the composition of forest understorey vegetation both in space and time, using repeated data from the European wide monitoring program ICP‐Forests, which focuses on normally… read more here.
Keywords: deposition eutrophication; nitrogen deposition; deposition; contribution nitrogen ... See more keywords
Hypoglycemia detection: multiple regression-based combinational neural logic approach
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1809-z
Abstract: Hypoglycemia is a common and serious side effect of type 1 diabetes. We measure physiological parameters continuously to provide detection of hypoglycemic episodes in type 1 diabetes mellitus patients using a multiple regression-based combinational neural… read more here.
Keywords: neural logic; combinational neural; logic approach; hypoglycemia ... See more keywords
A parallel computation of skyline using multiple regression analysis-based filtering on MapReduce
Sign Up to like & getrecommendations! Published in 2017 at "Distributed and Parallel Databases"
DOI: 10.1007/s10619-017-7202-4
Abstract: In the last decade, skyline query processing has become widely important because of its usefulness in decision making applications. Since the size of the datasets used for skyline query processing are huge, algorithms for MapReduce-based… read more here.
Keywords: skyline computation; computation; skyline; skyline query ... See more keywords
Nonparametric multiple regression estimation for circular response
Sign Up to like & getrecommendations! Published in 2020 at "Test"
DOI: 10.1007/s11749-020-00736-w
Abstract: Nonparametric estimators of a regression function with circular response and $${\mathbb {R}}^d$$ -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional bias and variance of… read more here.
Keywords: response; circular response; regression estimation; nonparametric multiple ... See more keywords
Modeling hydrogen storage on Mg–H2 and LiNH2 under variable temperature using multiple regression analysis with respect to ANOVA
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2017.05.101
Abstract: Abstract The world is facing a major problem due to the depletion of conventional energy sources. Hydrogen is considered one of the most promising sources of energy. Recently, one of the problems facing utilization of… read more here.
Keywords: analysis respect; regression analysis; hydrogen; energy ... See more keywords
Stature estimation from different combinations of foot measurements using linear and multiple regression analysis in a North Indian male population.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of forensic and legal medicine"
DOI: 10.1016/j.jflm.2018.12.007
Abstract: Establishing the identity of the deceased is the most important task for forensic anthropologists in forensic case-work involving unidentified human remains. In such cases, forensic anthropologists examine the remains to derive the biological profile of… read more here.
Keywords: estimation; stature estimation; foot; multiple regression ... See more keywords
Use of three summary measures of pediatric vaccination for studying the safety of the childhood immunization schedule.
Sign Up to like & getrecommendations! Published in 2019 at "Vaccine"
DOI: 10.1016/j.vaccine.2019.01.040
Abstract: BACKGROUND Summary measures such as number of vaccine antigens, number of vaccines, and vaccine aluminum exposure by the 2nd birth day are directly related to parents' concerns that children receive too many vaccines over a… read more here.
Keywords: risk; regression models; risk factors; summary measures ... See more keywords
Multiple Regression Model for Predicting Cracks in Soil Amended with Pig Manure Biochar and Wood Biochar
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Hazardous, Toxic, and Radioactive Waste"
DOI: 10.1061/(asce)hz.2153-5515.0000561
Abstract: Abstract This study aims to understand the influence of compaction state, and the drying–wetting cycles on cracks propagation in biochar-amended soils (BAS). The objective of the study is to carry ... read more here.
Keywords: model predicting; biochar; cracks soil; regression model ... See more keywords
Prediction of standard penetration test N-value from dynamic probing light N-value using ANFIS and multiple regression models
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Geotechnical Engineering"
DOI: 10.1080/19386362.2018.1498578
Abstract: ABSTRACT Standard penetration test (SPT) is one of the most widely used tools to predict the soil properties. In recent years, the dynamic probing light (DPL) test has been performed more frequently for geotechnical applications… read more here.
Keywords: standard penetration; multiple regression; penetration test; value ... See more keywords
Application of multiple regression for sensitivity analysis of helium line emissions to the electron density and temperature in Magnum-PSI
Sign Up to like & getrecommendations! Published in 2021 at "Plasma Physics and Controlled Fusion"
DOI: 10.1088/1361-6587/abf36e
Abstract: Helium line intensities have been utilized to measure the electron density, n e , and temperature, T e , by comparing measured line intensities to a collisional-radiative model (CRM). In this study, we use multiple… read more here.
Keywords: line; analysis; helium line; multiple regression ... See more keywords
Feasibility of particle swarm optimization and multiple regression for the prediction of an environmental issue of mine blasting
Sign Up to like & getrecommendations! Published in 2018 at "Engineering Computations"
DOI: 10.1108/ec-01-2017-0040
Abstract: Purpose Blasting is an economical method for rock breakage in open-pit mines. Backbreak is an undesirable phenomenon induced by blasting operations and has several unsuitable effects such as equipment instability and decreased performance of the… read more here.
Keywords: swarm optimization; multiple regression; particle swarm; model ... See more keywords