Articles with "estimation models" as a keyword



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Build Time Estimation Models in Thermal Extrusion Additive Manufacturing Processes

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Published in 2018 at "Procedia Manufacturing"

DOI: 10.1016/j.promfg.2018.02.167

Abstract: Abstract In this study, two build time estimation models (analytical and empirical) for the Material Extrusion (ME) - Fused Deposition Modelling (FDM) Additive Manufacturing (AM) process have been developed. Both models have been validated through… read more here.

Keywords: estimation models; time; additive manufacturing; time estimation ... See more keywords
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An assessment of estimation models and investment gaps for the deployment of high-speed broadband networks in NUTS3 regions to meet the objectives of the European Gigabit Society

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Published in 2021 at "Telecommunications Policy"

DOI: 10.1016/j.telpol.2021.102170

Abstract: Abstract This paper analyses the deployment of high-speed broadband networks in the European Union (EU). Its aim is to assess the investment required to meet the targets set by the European Commission (EC) for 2025,… read more here.

Keywords: methodology; estimation models; deployment high; estimation ... See more keywords
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Measuring fuel consumption in vehicle routing: new estimation models using supervised learning

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Published in 2021 at "International Journal of Production Research"

DOI: 10.1080/00207543.2021.1948133

Abstract: In this paper, we propose and assess the accuracy of new fuel consumption estimation models for vehicle routing. Based on real-world data consisting of instantaneous fuel consumption, time-varying ... read more here.

Keywords: vehicle routing; fuel consumption; fuel; estimation models ... See more keywords
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Data-driven stochastic optimization approaches to determine decision thresholds for risk estimation models

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Published in 2020 at "IISE Transactions"

DOI: 10.1080/24725854.2020.1725254

Abstract: Abstract The increasing availability of data has popularized risk estimation models in many industries, especially healthcare. However, properly utilizing these models for accurate diagnosis decisions remains challenging. Our research aims to determine when a risk… read more here.

Keywords: estimation; estimation models; data driven; risk estimation ... See more keywords
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Average Step Length Estimation Models’ Evaluation Using Inertial Sensors: A Review

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Published in 2019 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2018.2878646

Abstract: Inertial sensors of smartphones and other Internet-of-Things devices present a very promising tool to monitor users’ activity including their step length. In this review paper, we deal with an in-depth analysis and comparison of 13… read more here.

Keywords: estimation models; length estimation; step length; inertial sensors ... See more keywords
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Parameter estimation in models of biological oscillators: an automated regularised estimation approach

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Published in 2019 at "BMC Bioinformatics"

DOI: 10.1186/s12859-019-2630-y

Abstract: BackgroundDynamic modelling is a core element in the systems biology approach to understanding complex biosystems. Here, we consider the problem of parameter estimation in models of biological oscillators described by deterministic nonlinear differential equations. These… read more here.

Keywords: estimation; estimation models; models biological; parameter estimation ... See more keywords
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Gaussianization Machines for Non-Gaussian Function Estimation Models

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Published in 2019 at "Statistical Science"

DOI: 10.1214/19-sts718

Abstract: A wide range of nonparametric function estimation models have been studied individually in the literature. Among them the homoscedastic nonparametric Gaussian regression is arguably the best known and understood. Inspired by the asymptotic equivalence theory,… read more here.

Keywords: estimation; estimation models; regression; gaussianization machines ... See more keywords