RD-Hand: a real-time regression-based detector for dynamic hand gesture
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02380-9
Abstract: Existing gesture-recognition methods have poor performance on the mobile terminal, because of their limited computing resources and noisy environments such as Spatio-temporal variations and light variations. In this paper, we first draw the idea of… read more here.
Keywords: regression; regression based; time; hand ... See more keywords
Mapping mineral prospectivity using an extreme learning machine regression
Sign Up to like & getrecommendations! Published in 2017 at "Ore Geology Reviews"
DOI: 10.1016/j.oregeorev.2016.06.033
Abstract: Abstract In this research, we conduct a case study of mapping polymetallic prospectivity using an extreme learning machine (ELM) regression. A Quad-Core CPU 1.8 GHz laptop computer served as hardware platform. Almeida's Python program was used… read more here.
Keywords: logistic regression; regression; prospectivity; elm regression ... See more keywords
Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria
Sign Up to like & getrecommendations! Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.04.073
Abstract: Abstract The determination of the PV module temperature is a key parameter for the assessment of the actual performance of the PV systems. The application of available models for PV module temperature estimation in literature… read more here.
Keywords: temperature; module temperature; back temperature; regression based ... See more keywords
Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111810
Abstract: The increasing impact of humans on land and ongoing global population growth requires an improved understanding of land cover (LC) and land use (LU) processes related to settlements. The heterogeneity of built-up areas and infrastructures… read more here.
Keywords: woody vegetation; training data; regression; based unmixing ... See more keywords
Regression-based cognitive change norms applied in biochemically defined predementia Alzheimer's disease.
Sign Up to like & getrecommendations! Published in 2022 at "Neuropsychology"
DOI: 10.1037/neu0000853
Abstract: OBJECTIVE We aim to develop 2-year cognitive change norms for adults ages 41-84 for six cognitive tests, and to evaluate these norms in groups with AD biomarkers. BACKGROUND Practice effects are common in repeated neuropsychological… read more here.
Keywords: regression based; change; alzheimer disease; change norms ... See more keywords
Logistic versus linear regression-based reliable change index: A simulation study with implications for clinical studies with different sample sizes.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological assessment"
DOI: 10.1037/pas0001138
Abstract: The linear regression-based reliable change index (RCI) is widely used to identify memory impairments through longitudinal assessment. However, the minimum sample size required for estimates to be reliable has never been specified. Using data from… read more here.
Keywords: linear regression; regression based; reliable change; change index ... See more keywords
MiRKAT: kernel machine regression-based global association tests for the microbiome
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa951
Abstract: SUMMARY Distance-based tests of microbiome beta diversity are an integral part of many microbiome analyses. MiRKAT enables distance-based association testing with a wide variety of outcome types, including continuous, binary, censored time-to-event, multivariate, correlated and… read more here.
Keywords: tests microbiome; association; regression based; mirkat kernel ... See more keywords
Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Inflammatory bowel diseases"
DOI: 10.1093/ibd/izac226
Abstract: BACKGROUND Assessment of endoscopic activity in ulcerative colitis (UC) is important for treatment decisions and monitoring disease progress. However, substantial inter- and intraobserver variability in grading impairs the assessment. Our aim was to develop a… read more here.
Keywords: score; regression based; endoscopic; deep learning ... See more keywords
A CNN-Regression-Based Contact Erosion Measurement Method for AC Contactors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3192282
Abstract: This article proposes a method that indirectly measures the contact erosion of alternating current (ac) contactors via mapping electrical signals to the contacting alloy erosion condition which is represented by the accumulated contact mass loss… read more here.
Keywords: cnn regression; regression based; contact erosion; erosion ... See more keywords
Nonlinear Regression-Based GNSS Multipath Dynamic Map Construction and Its Application in Deep Urban Areas
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3246493
Abstract: GNSS signals are easily blocked or degraded because of the dense presence of high-rise buildings in urban areas, and positioning errors arising from reflected signals amount to as much as hundreds of meters. Various conventional… read more here.
Keywords: urban areas; regression based; multipath; based gnss ... See more keywords
Regression‐Based Landmark Detection on Dynamic Human Models
Sign Up to like & getrecommendations! Published in 2017 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13273
Abstract: Detecting anatomical landmarks on various human models with dynamic poses remains an important and challenging problem in computer graphics research. We present a novel framework that consists of two‐level regressors for finding correlations between human… read more here.
Keywords: landmark detection; regression; detection dynamic; human models ... See more keywords