Results 1 to 10 of about 15,501 (203)

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

Applied 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, Aurora Mascolo, Claudio Guarnaccia   +2 more
doaj   +1 more source

Discussion on common errors in analyzing sea level accelerations, solar trends and global warming

, 2013
Errors in applying regression models and wavelet filters used to analyze geophysical signals are discussed: (1) multidecadal natural oscillations (e.g.
Scafetta, Nicola
core   +1 more source

Confrontation of linear versus nonlinear approach in Fe2B boridelayer thickness predictions

Zaštita 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, Bendaoud Mebarek, Mourad Keddam   +2 more
doaj   +1 more source

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

Química 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, João Carlos de Andrade, Fábio Augusto   +2 more
doaj   +1 more source

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

Energies, 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

Tensor Decompositions for Modeling Inverse Dynamics

, 2017
Modeling inverse dynamics is crucial for accurate feedforward robot control. The model computes the necessary joint torques, to perform a desired movement.
Baier, Stephan, Tresp, Volker
core   +1 more source

Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation

, 2011
Volterra and polynomial regression models play a major role in nonlinear system identification and inference tasks. Exciting applications ranging from neuroscience to genome-wide association analysis build on these models with the additional requirement ...
Giannakis, Georgios B., Kekatos, Vassilis   +1 more
core   +1 more source

Parameter Estimation from an Optimal Projection in a Local Environment

, 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, A. Recio-Blanco, Coryn A.L. Bailer-Jones, P. de Laverny   +3 more
core   +1 more source

WEDM of Cu/WC/SiC composites: development and machining parameters using artificial immune system

Journal of Experimental Nanoscience, 2020
A systematic read on evaluating the machining characteristics of wire cut electrical discharge machining (WEDM) using analysis of variance (ANOVA) and multilinear regression model based multi objective optimization is provided during this analysis ...
R. Meenakshi, P. Suresh
doaj   +1 more source