Results 51 to 60 of about 15,675 (200)

Confrontation of linear versus nonlinear approach in Fe2B boridelayer thickness predictions

open access: yesZaštita Materijala
Kinetic studies of boride layers focus on trying to accurately predict their thicknesses according to some variables using different approaches. In this paper, an approach that is reliant on a multilinear regression is investigated.
Yassine El Guerri   +2 more
doaj   +1 more source

Assessment of Groundwater Quality along the Cooum River, Chennai, Tamil Nadu, India

open access: yesJournal of Chemistry, 2013
Groundwater quality in Chennai city along the Cooum river, during the premonsoon (June–July) and postmonsoon (Dec–Jan) for three years, from 2009 to 2011, was analyzed.
N. S. Elangovan, M. Dharmendirakumar
doaj   +1 more source

Calibration and Validation of a Measurements-Independent Model for Road Traffic Noise Assessment

open access: yesApplied Sciences, 2023
The assessment of road traffic noise is very important for the health of people living in urban areas. Noise is usually assessed by field measurements, and predictive models play an important role when experimental data are not available.
Domenico Rossi   +2 more
doaj   +1 more source

Statistical inference in compound functional models [PDF]

open access: yes, 2012
We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak   +2 more
core   +4 more sources

Amine‐Triggered Azabenz‐Annulation of Cyclic Secondary Amine‐Functionalized Perylene Diimides for Dual‐Mode Sensing

open access: yesChemistry – A European Journal, EarlyView.
Pictet‐Spengler Intermediate of a cyclic secondary amine perylene diimide undergoing amine‐triggered conversion to azabenz‐annulated perylene diimide, inducing a high‐contrast green‐to‐yellow color change along with fluorescence turn‐on, demonstrating intuitive “safe” to “warning” dual‐mode sensing.
Irene E. Park   +2 more
wiley   +1 more source

O ajuste de funções matemáticas a dados experimentais Curve fitting of mathematical functions to experimental data

open access: yesQuímica Nova, 1997
The least square method is analyzed. The basic aspects of the method are discussed. Emphasis is given in procedures that allow a simple memorization of the basic equations associated with the linear and non linear least square method, polinomial ...
Rogério Custodio   +2 more
doaj   +1 more source

Artificial Neural Network and Regression Models for Predicting Intrusion of Non-Reacting Gases into Production Pipelines

open access: yesEnergies, 2022
Wax deposition and gelation of waxy crude oil in production pipelines are detrimental to crude oil transportation from offshore fields. A waxy crude oil forms intra-gel voids in pipelines under cooling mode, particularly below the pour point temperature.
Girma Tadesse Chala, Berihun Mamo Negash
doaj   +1 more source

Using generalized quantitative structure–property relationship (QSPR) models to predict host cell protein retention in ion‐exchange chromatography

open access: yesJournal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND Selecting an optimal chromatography resin during biopharmaceutical downstream process development is a great challenge. This is especially the case for recombinant subunit vaccines, where product properties vary greatly and recovery often involves cell lysis, which yields a complex mixture of different host cell materials. Host cell
Tim Neijenhuis   +4 more
wiley   +1 more source

Parameter Estimation from an Optimal Projection in a Local Environment

open access: yes, 2008
The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters.
A. Bijaoui   +3 more
core   +1 more source

Multilinear Weighted Regression (MWE) with Neural Networks for trend prediction

open access: yesApplied Soft Computing, 2019
The ability to define accurate linear models to find patterns or relationships between variables is one of the most challenging fields in Computer Science. In particular, extrapolative applications are widely used to predict values in Biological, Behavioral and Social Sciences.
Arteta Albert, Alberto   +2 more
openaire   +2 more sources

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