Results 131 to 140 of about 177,424 (286)

Model identification of ventilation air pump utilizing Ridge-momentum regression and Grid-based structure optimization

open access: yesMathematical Biosciences and Engineering
Historically, the world has endured numerous respiratory pandemics, with the recent COVID-19 outbreak underscoring the significant importance of respiratory equipment and mechanical ventilators being no exception. Despite long-standing efforts in control
Cong Toai Truong   +4 more
doaj   +1 more source

Sensor Selection for Tidal Volume Determination via Linear Regression-Impact of Lasso versus Ridge Regression. [PDF]

open access: yesSensors (Basel), 2023
Laufer B   +8 more
europepmc   +1 more source

A computer intensive method for choosing the ridge parameter [PDF]

open access: yes
In this paper we describe a computer intensive method to find the ridge parameter in a prediction oriented linear model. With the help of a factorial experimental design the method is tested and compared to a classical one.
Czogiel, Irina   +2 more
core  

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao   +3 more
wiley   +1 more source

The NFDA-Nonsmooth Feasible Directions Algorithm applied to construction of Pareto Fronts of Ridge and Lasso Regressions

open access: yesTrends in Computational and Applied Mathematics
Ridge and Lasso regressions are types of linear regression, a machine learning tool for dealing with data. Based on multiobjective optimization theory, we transform Ridge and Lasso regression into bi-objective optimization problems. The Pareto fronts of
W. P. Freire
doaj   +1 more source

"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]

open access: yes
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
M. S. Srivastava, Tatsuya Kubokawa
core  

Phylogenomics, ecomorphological evolution, and historical biogeography in Deuterocohnia (Bromeliaceae: Pitcairnioideae)

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li   +5 more
wiley   +1 more source

Regional Neuroanatomic Effects on Brain Age Inferred Using Magnetic Resonance Imaging and Ridge Regression. [PDF]

open access: yesJ Gerontol A Biol Sci Med Sci, 2023
Massett RJ   +7 more
europepmc   +1 more source

Impact of Secondary Prevention on Mortality in the Building Trades National Medical Screening Program: Effectiveness of Occupational High‐Risk Management

open access: yesAmerican Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Since 1997 the Building Trades National Medical Screening Program (BTMed) has offered medical exams to construction workers employed in US nuclear weapons facilities. The process consists of two steps: (1) a detailed work history interview; and (2) a medical exam.
Knut Ringen   +11 more
wiley   +1 more source

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