Results 11 to 20 of about 58,672 (256)

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

open access: yesRemote Sensing, 2020
Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development.
Alireza Arabameri   +6 more
doaj   +1 more source

Inter-subject correlation in fMRI: method validation against stimulus-model based analysis. [PDF]

open access: yesPLoS ONE, 2012
Within functional magnetic resonance imaging (fMRI), the use of the traditional general linear model (GLM) based analysis methods is often restricted to strictly controlled research setups requiring a parametric activation model.
Juha Pajula   +3 more
doaj   +1 more source

Generalized linear model (GLM) to determine life insurance premiums [PDF]

open access: yesAIP Conference Proceedings, 2019
Every individual has different mortality rates which affected by the underwriting factor. Underwriting factor is an observable factor. In this paper, we use the Generalized Linear Model (GLM) which can quantify this factor to determine the mortality rate.
N. Naufal, S. Devila, D. Lestari
openaire   +1 more source

Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity

open access: yesSensors, 2019
Functional infrared imaging (fIRI) is a validated procedure to infer autonomic arousal. Currently, fIRI signals are analysed through descriptive metrics, such as average temperature changes in a region of interest (ROI).
David Perpetuini   +4 more
doaj   +1 more source

Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups

open access: yesNeuroImage, 2022
The general linear model (GLM) is a widely popular and convenient tool for estimating the functional brain response and identifying areas of significant activation during a task or stimulus.
Daniel Spencer   +4 more
doaj   +1 more source

Identification of microsatellite markers linked to grain discoloration disease in rice genotypes [PDF]

open access: yesمجله بیوتکنولوژی کشاورزی, 2020
Objective Rice grain discoloration disease is emerging as a major threat in improved and late ripening varieties in the north of Iran that deteriorates grain quality and physical properties.
Somayeh Dariush   +2 more
doaj   +1 more source

Hemodynamic matrix factorization for functional magnetic resonance imaging

open access: yesNeuroImage, 2021
The General Linear Model (GLM) used in task-fMRI relates activated brain areas to extrinsic task conditions. The translation of resulting neural activation into a hemodynamic response is commonly approximated with a linear convolution model using a ...
Michael Hütel   +3 more
doaj   +1 more source

Analysis of variance components for genetic markers with unphased genotypes

open access: yesFrontiers in Genetics, 2016
An ANOVA type general multi-allele (GMA) model was proposed in cite{Wang2014} on analysis of variance components for quantitative trait loci or genetic markers with phased or unphased genotypes.
Tao Wang
doaj   +1 more source

Determining Pure Premium of Motor Vehicle Insurance with Generalized Linear Models (GLM)

open access: yesInternational Journal of Quantitative Research and Modeling, 2023
Motor vehicle insurance guarantees protection, coverage, and compensation for the risks of accidents, damages, and loss of motor vehicles. It is crucial for companies to determine appropriate insurance premium rates as a preventive measure to avoid difficulties in meeting claims filed by policyholders.
Tyrenia Rahmawati   +2 more
openaire   +1 more source

Generalized linear models (GLMs) approach in modeling rainfall data over Johor area [PDF]

open access: yesAIP Conference Proceedings, 2014
Observations of rainfall data are always changing over time. With the concern over climate change, this study is done to demonstrate how Generalized Additive Models (GAMs) could be utilized to model daily rainfall amount over Johor area. Hence, in modeling rainfall amount, Cyclic Cubic Spline is used as the smoothing technique.
Suhaimi Hanisah, Jamaludin Suhaila
openaire   +1 more source

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