Results 51 to 60 of about 3,495,066 (309)
Energies, 2020 The widespread availability of wind turbine operation data has considerably boosted the research and the applications for wind turbine monitoring. It is well established that a systematic misalignment of the wind turbine nacelle with respect to the wind ...
Davide Astolfi +4 more
doaj +1 more source
Regression Trees and Ensemble for Multivariate Outcomes
Sankhya B, 2023 Tree-based methods have become one of the most flexible, intuitive, and powerful analytic tools for exploring complex data structures. The best documented, and arguably most popular uses of tree-based methods are in biomedical research, where multivariateoutcomes occur commonly (e.g.
Evan L. Reynolds +3 more
openaire +4 more sources
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Survival Analysis with Multivariate adaptive Regression Splines [PDF]
, 2007 Multivariate adaptive regression splines (MARS) are a useful tool to identify linear and nonlinear effects and interactions between two covariates. In this dissertation a new proposal to model survival type data with MARS is introduced.
Kriner, Monika
core +1 more source
A Data-Driven Analysis on the Impact of High-Speed Rails on Land Prices in Taiwan
Applied Sciences, 2020 High-speed rail (HSR) networks boost inter-city accessibility across a country and stimulate economic growth in inner cities. These economic gains, however, can often be accompanied by sharp increases in land and property prices along the lines that ...
Joyce M.W. Low, Byung Kwon Lee
doaj +1 more source
Sparse Multivariate Gaussian Mixture Regression [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2015 Fitting a multivariate Gaussian mixture to data represents an attractive, as well as challenging problem, in especial when sparsity in the solution is demanded. Achieving this objective requires the concurrent update of all parameters (weight, centers, and precisions) of all multivariate Gaussian functions during the learning process. Such is the focus
Luis Weruaga, Javier Vía
openaire +4 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
Multivariate logistic regression analysis using multilevel model
Journal of Biostatistics and Epidemiology, 2018 Background & Aim: One of the basic assumptions in simple linear regression models is the statistical independence of observations. Sometimes this assumption is not true for study subject and consequently the use of general regression models may not be ...
Ahmad Vakili Basir +2 more
doaj
Multivariate Regression-Based Convolutional Neural Network Model for Fundus Image Quality Assessment
IEEE Access, 2020 Objectively assessing the perceptual quality of an ocular fundus image is essential for the reliable diagnosis of various ocular diseases. A fair amount of work has been done in this field to date.
Aditya Raj +3 more
doaj +1 more source