Results 51 to 60 of about 141,753 (193)

Contributory Factors of Traffic Accidents in Lahore Using Generalized Linear Models (GLM)

open access: yesNUST Journal of Engineering Sciences, 2019
The geometric design of roads is the branch of highway engineering concerned with the positioning of the physical elements of the roadway according to standards and limitations with objectives to optimize efficiency and safety while minimizing cost and environmental damage.
Hajra Slam, Yasar Mahmood
openaire   +3 more sources

Predicting the Aqueductal Cerebrospinal Fluid Pulse: A Statistical Approach

open access: yesApplied Sciences, 2019
The cerebrospinal fluid (CSF) pulse in the Aqueduct of Sylvius (aCSF pulse) is often used to evaluate structural changes in the brain. Here we present a novel application of the general linear model (GLM) to predict the motion of the aCSF pulse.
Clive B Beggs   +3 more
doaj   +1 more source

Evaluating the Performance of the Generalized Linear Model (glm) R Package Using Single-Cell RNA-Sequencing Data

open access: yesApplied Sciences, 2023
The glm R package is commonly used for generalized linear modeling. In this paper, we evaluate the ability of the glm package to predict binomial outcomes using logistic regression. We use single-cell RNA-sequencing datasets, after a series of normalization, to fit data into glm models repeatedly using 10-fold cross-validation over 100 iterations.
Omar Alaqeeli, Raad Alturki
openaire   +2 more sources

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model

open access: yesInternational Journal of Digital Earth, 2019
The aim of this paper was to study reliable automated delineation possibilities of karst sinkholes using a LiDAR-based digital terrain model (DTM) with pixel-based classifications.
Péter Enyedi   +4 more
doaj   +1 more source

Non-commutative NLS-type hierarchies: dressing & solutions [PDF]

open access: yes, 2019
We consider the generalized matrix non-linear Schrodinger (NLS) hierarchy. By employing the universal Darboux-dressing scheme we derive solutions for the hierarchy of integrable PDEs via solutions of the matrix Gelfand-Levitan-Marchenko equation, and we ...
Doikou, Anastasia   +2 more
core   +2 more sources

Fault prediction in aircraft engines using Self-Organizing Maps [PDF]

open access: yes, 2009
Aircraft engines are designed to be used during several tens of years. Their maintenance is a challenging and costly task, for obvious security reasons.
7th International Workshop Self-Organizing Maps (WSOM 2009)   +7 more
core   +3 more sources

Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images

open access: yesSensors, 2020
Increasing the area of planted forests is rather important for compensation the loss of natural forests and slowing down the global warming. Forest growing stem volume (GSV) is a key indicator for monitoring and evaluating the quality of planted forest ...
Jiangping Long   +4 more
doaj   +1 more source

autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data

open access: yesFrontiers in Neuroimaging, 2022
The analysis of task-related fMRI data at the level of individual participants is commonly based on general linear modeling (GLM), which allows us to estimate the extent to which the BOLD signal can be explained by the task response predictors specified ...
Nina Purg   +5 more
doaj   +1 more source

A hybrid generalised linear and Levenberg-Marquardt artificial neural network approach for downscaling future rainfall in North Western England [PDF]

open access: yes
This paper describes a novel technique for downscaling daily rainfall which uses a combination of a generalised linear model (GLM) and artificial neural network (ANN) to downscale rainfall. A two-stage process is applied, an occurrence process which uses
Abdellatif, M, Alkhaddar, R, Atherton, W
core   +1 more source

Bagging GLM: Improved generalized linear model for the analysis of zero-inflated data

open access: yesEcological Informatics, 2011
Abstract Species-occurrence data sets tend to contain a large proportion of zero values, i.e., absence values (zero-inflated). Statistical inference using such data sets is likely to be inefficient or lead to incorrect conclusions unless the data are treated carefully. In this study, we propose a new modeling method to overcome the problems caused by
Takeshi Osawa   +3 more
openaire   +1 more source

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