Results 91 to 100 of about 70,459 (296)

Impact of Agitation Power Input on Aspergillus oryzae Metabolism: Application of Multi‐Omics on an Industrial Enzyme Fermentation

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT The agitation power input substantially impacts the oxygen transfer rate in aerobic fermentation processes. Furthermore, in a carbon‐limited process where the substrate feed rate is controlled by the concentration of dissolved oxygen, the power input will consequently govern the feed rate.
Mariana Albino   +6 more
wiley   +1 more source

Local Linear Forecasts Using Cubic Smoothing Splines [PDF]

open access: yes
We show how cubic smoothing splines fitted to univariate time series data can be used to obtain local linear forecasts. Our approach is based on a stochastic state space model which allows the use of a likelihood approach for estimating the smoothing ...
Baki Billah   +3 more
core  

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios   +13 more
wiley   +1 more source

Automatic spline-smoothing approach applied to denoise Moroccan resistivity data phosphate deposit “disturbances” map

open access: yesIngeniería e Investigación, 2008
This paper focuses on presenting a method which is able to filter out noise and suppress outliers of sampled real functions under fairly general conditions.
Saad Bakkali, Lahcen Bahi
doaj  

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

An algorithm for surface smoothing with rational splines [PDF]

open access: yes
Discussed is an algorithm for smoothing surfaces with spline functions containing tension parameters. The bivariate spline functions used are tensor products of univariate rational-spline functions.
Schiess, James R.
core   +1 more source

Parsimonious Time Series Clustering

open access: yes, 2015
We introduce a parsimonious model-based framework for clustering time course data. In these applications the computational burden becomes often an issue due to the number of available observations.
D'Ambrosio, Antonio   +3 more
core   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

The Estimating Parameter and Number of Knots for Nonparametric Regression Methods in Modelling Time Series Data

open access: yesModelling
This research aims to explore and compare several nonparametric regression techniques, including smoothing splines, natural cubic splines, B-splines, and penalized spline methods.
Autcha Araveeporn
doaj   +1 more source

Explicit B-spline regularization in diffeomorphic image registration

open access: yesFrontiers in Neuroinformatics, 2013
Diffeomorphic mappings are central to image registration due largely to their topological properties and success in providing biologically plausible solutions to deformation and morphological estimation problems.
Nicholas James Tustison, Brian eAvants
doaj   +1 more source

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