Application of finite-difference methods to parameter identification of agroecological models by Natalija Juščenko, Vitalijus Denisov

“…The software algorithm is described and some numerical results are given for the particular soil heat transfer parameter estimation exercise using the field treatment data collected at the Lithuanian Institute of Agriculture. …”
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A New Iterative Algorithm for General Variational Inequality Problem with Applications by Aysha Khan, M. Akram, M. Dilshad, J. Shafi

“…Using this newly proposed iterative method, we estimate the common solution of generalized variational inequality problem and fixed points of a nonexpansive mapping. …”
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Bernoulli Poisson Moment Exponential Distribution: Mathematical Properties, Regression Model, and Applications by Amani Alrumayh

“…The maximum likelihood estimation method is used to estimate the model parameters. …”
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Cost of Production for Fresh Grapefruit in East Florida (Indian River), 2014/15 by Ariel Singerman

“…Typical users of these estimates include growers, consultants, property appraisers, and researchers. …”
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Cost of Production for Fresh Grapefruit in East Florida (Indian River), 2014/15 by Ariel Singerman

“…Typical users of these estimates include growers, consultants, property appraisers, and researchers. …”
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La surveillance maritime en Méditerranée by Mélanie Fournier

“…Secondly the aim is to estimate the value of the information and data extracted from a satellite image. …”
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Economic Impacts of the Florida Citrus Industry in 2003-04 by Alan Hodges, Mohammad Rahmani, David Mulkey

“…Estimates are presented separately for fresh market citrus fruit and for processed juices and other byproducts. …”
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An Inverse Source Problem for Singular Parabolic Equations with Interior Degeneracy by Khalid Atifi, Idriss Boutaayamou, Hamed Ould Sidi, Jawad Salhi

“…The main purpose of this work is to study an inverse source problem for degenerate/singular parabolic equations with degeneracy and singularity occurring in the interior of the spatial domain. Using Carleman estimates, we prove a Lipschitz stability estimate for the source term provided that additional measurement data are given on a suitable interior subdomain. …”
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Uncertainty quantification in modeling HIV viral mechanics by H. T. Banks, Robert Baraldi, Karissa Cross, Kevin Flores, Christina McChesney, Laura Poag, Emma Thorpe

“…Bootstrapping and asymptotic theory are compared in the context of confidence intervals for the resulting parameter estimates.…”
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Adaptive Energy Management Control for Efficiency Improvement of Supercapacitor-Based Energy Recovery System by Ģirts Staņa, Martin Makar, Kaspars Kroičs

“…The paper proposes a method on how to estimate load current indirectly from this voltage measurement. …”
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Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise by Samudra Dasgupta, Travis S. Humble

“…These results underscore the importance of adaptive estimation processes to effectively address nonstationary noise, vital for advancing PEC utility.…”
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Simulation of finished and thermal stocks of two-stroke engine piston modified with catalytic material by P. V. Litvinov, V. A. Borisov, V. R. Vedruchenko, Z. N. Gryaznova, I. V. Kotsyba

“…The efficiency of the piston is estimated when the surface is modified with catalytic materials. …”
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Individual Property Risk Management by Michael S. Finke, Eric Belasco, Sandra J. Huston

“…This paper reviews household property risk management and estimates normatively optimal choice under theoretical assumptions. …”
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Passive Initialization Method Based on Motion Characteristics for Monocular SLAM by Yu Yang, Jing Xiong, Xiaoyu She, Chang Liu, ChengWei Yang, Jie Li

“…Visual SLAM techniques have proven to be effective methods for estimating robust position and attitude in the field of robotics. …”
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Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin by Guocan Wu, Bo Dan, Xiaogu Zheng

“…Assimilating observations to a land surface model can further improve soil moisture estimation accuracy. However, assimilation results largely rely on forecast error and generally cannot maintain a water budget balance. …”
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Method of Particular Solutions for Second-Order Differential Equation with Variable Coefficients via Orthogonal Polynomials by Huantian Xie, Zhaozhong Zhang, Ziwu Jiang, Jianwei Zhou

“…Meanwhile, we investigate the a-priori error estimates of the MPS approximations. Two a-priori error estimations in H1- and L∞-norms are shown to depict the convergence order of numerical approximations, respectively. …”
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A Bark Thickness Model for White Spruce in Alaska Northern Forests by Thomas Malone, Jingjing Liang

“…Here we developed a simple linear model to estimate white spruce bark thickness in the northern forests of Alaska. …”
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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

“…Airborne lidar, although precise, incurs high costs and has limited geographical coverage, thereby necessitating the exploration of alternative, cost-effective methodologies for snow depth estimation. The forthcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission, with its 12-day global revisit cycle and 1.25 GHz L-band frequency, introduces a promising avenue for cost-effective, large-scale snow depth and snow water equivalent (SWE) estimation using L-band Interferometric SAR (InSAR) capabilities. …”
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Short- and long-term survival after ST-elevation myocardial infarction treated with pharmacoinvasive versus primary percutaneous coronary intervention strategy: a prospective cohor... by Sigrun Halvorsen, Jon Michael Gran, Kristin Kvakkestad

“…Objective Compare survival in patients with ST-elevation myocardial infarction (STEMI) treated with a pharmacoinvasive (PI) or primary percutaneous coronary intervention (pPCI) strategy based on estimated time to PCI.Design Prospective observational cohort study. …”
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An Approach to Refining MODIS LAI Data Using a Fitting Scale Factor Time Series by Junxian Tang, Peijuan Wang, Rui Feng, Yang Li, Qing Li

“…The leaf area index (LAI) serves as a key metric for tracking crop growth and can be integrated into crop models for yield estimation. Although the remote sensing LAI data provide a critical foundation for monitoring crop growth and estimating yields, the existing datasets often exhibit notable errors due to the pixel-level heterogeneity. …”
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