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   Articles with "estimation" as a keyword



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Using weighted power mean for equivalent square estimation

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recommendations! Published in 2017 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.12201

Abstract: Abstract Purpose Equivalent Square (ES) enables the calculation of many radiation quantities for rectangular treatment fields, based only on measurements from square fields. While it is widely applied in radiotherapy, its accuracy, especially for extremely… read more here.

Keywords: estimation; formula; power mean; equivalent square ... See more keywords
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A feasibility study of intrafractional tumor motion estimation based on 4D‐CBCT using diaphragm as surrogate

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recommendations! Published in 2018 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.12410

Abstract: Abstract Purpose To investigate the intrafractional stability of the motion relationship between the diaphragm and tumor, as well as the feasibility of using diaphragm motion to estimate lung tumor motion. Methods Eighty‐five paired (pre and… read more here.

Keywords: motion; image; estimation; position ... See more keywords
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Nondestructive adult age at death estimation: Visualizing cementum annulations in a known age historical human assemblage using synchrotron X-ray microtomography.

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recommendations! Published in 2019 at "American journal of physical anthropology"

DOI: 10.1002/ajpa.23702

Abstract: OBJECTIVES Adult age at death estimation continues to challenge physical anthropologists. One estimation method involves counting tooth cementum annulations (TCA). Non-destructively accessing TCA is a critical step to approaching fossil teeth of unknown age and… read more here.

Keywords: age death; estimation; age; adult age ... See more keywords
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State estimation for stochastic time‐varying multisensor systems with multiplicative noises: Centralized and decentralized data fusion

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recommendations! Published in 2019 at "Asian Journal of Control"

DOI: 10.1002/asjc.2103

Abstract: In this paper, the state estimation problems, including filtering and one‐step prediction, are solved for uncertain stochastic time‐varying multisensor systems by using centralized and decentralized data fusion methods. Uncertainties are considered in all parts of… read more here.

Keywords: fusion; decentralized data; centralized decentralized; state ... See more keywords
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Finite Horizon Maximum Likelihood Estimation for Integrated Navigation with RF Beacon Measurements

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recommendations! Published in 2019 at "Asian Journal of Control"

DOI: 10.1002/asjc.2213

Abstract: We develop a Finite Horizon Maximum Likelihood Estimator (FHMLE) that fuses Inertial Measurement Unit (IMU) and radio frequency (RF) measurements over a sliding window of finite length for three-dimensional navigation. Available RF data includes pseudo–ranges,… read more here.

Keywords: estimation; maximum likelihood; horizon maximum; finite horizon ... See more keywords
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Weak signals in high-dimension regression: detection, estimation and prediction.

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recommendations! Published in 2019 at "Applied stochastic models in business and industry"

DOI: 10.1002/asmb.2340

Abstract: Regularization methods, including Lasso, group Lasso and SCAD, typically focus on selecting variables with strong effects while ignoring weak signals. This may result in biased prediction, especially when weak signals outnumber strong signals. This paper… read more here.

Keywords: estimation; variable selection; weak signals; estimation prediction ... See more keywords
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Behavioral event detection and rate estimation for autonomous vehicle evaluation

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recommendations! Published in 2023 at "Applied Stochastic Models in Business and Industry"

DOI: 10.1002/asmb.2769

Abstract: Autonomous vehicles are continually increasing their presence on public roads. However, before any new autonomous driving software can be approved, it must first undergo a rigorous assessment of driving quality. These quality evaluations typically focus… read more here.

Keywords: rate; rate estimation; estimation; behavioral event ... See more keywords
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Structural variability, implementational irregularities in mathematical modelling of polyhydroxyalkanoates (PHAs) production—A state‐of‐the‐art review

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recommendations! Published in 2022 at "Biotechnology and Bioengineering"

DOI: 10.1002/bit.28213

Abstract: The rate and extent of microbial polyhydroxyalkanoates (PHAs) production rely on the availability of substrates, growth of microbial biomass, and intracellular accumulation of polymer under nitrogen‐limited conditions. The dynamics of PHAs production captured through various… read more here.

Keywords: estimation; polyhydroxyalkanoates phas; production; variability ... See more keywords
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Experimental kS estimation: A comparison of methods for Corynebacterium glutamicum from lab to microfluidic scale

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recommendations! Published in 2023 at "Biotechnology and Bioengineering"

DOI: 10.1002/bit.28345

Abstract: Knowledge about the specific affinity of whole cells toward a substrate, commonly referred to as kS, is a crucial parameter for characterizing growth within bioreactors. State‐of‐the‐art methodologies measure either uptake or consumption rates at different… read more here.

Keywords: estimation; corynebacterium glutamicum; mscc; substrate ... See more keywords
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Reservoir history matching using constrained ensemble Kalman filtering

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recommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"

DOI: 10.1002/cjce.22965

Abstract: The high heterogeneity of petroleum reservoirs, represented by their spatially varying rock properties (porosity and permeability), greatly dictates the quantity of recoverable oil. In this work, the estimation of the spatial permeability distribution, which is… read more here.

Keywords: estimation; kalman filtering; history matching; ensemble kalman ... See more keywords
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Robust bias correction model for estimation of global trend in marine populations

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recommendations! Published in 2017 at "Ecosphere"

DOI: 10.1002/ecs2.2038

Abstract: In modeling biological and ecological processes from data, it is essential to deal with data selection bias properly in order to obtain reliable and reasonable predictions. To incorporate the mechanism of selection bias into a… read more here.

Keywords: estimation; model; bias correction; robust bias ... See more keywords