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A scoping review of burden of disease studies estimating disability-adjusted life years due to Taenia solium.
Published 2022-07-01“…<h4>Objectives</h4>This scoping review aimed to examine the methodology of peer-reviewed studies that estimate the burden of T. solium using disability-adjusted life years.…”
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An Extendable Gaussian Mixture Model for Lane-Based Queue Length Estimation Based on License Plate Recognition Data
Published 2022-01-01“…Most existing studies on queue length estimation based on license plate recognition (LPR) data require multisection LPR data. …”
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Estimation of alfalfa weevil, Hypera postica (Coleoptera: Curculionidae) economic damage based on the larval laboratory feeding rate
Published 2025-01-01“…Larval feeding rate was estimated based on alfalfa leaflet consumption under laboratory conditions (18 ± 2 °C, 60–70% RH). …”
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Estimated standard values of aerobic capacity according to sex and age in a Japanese population: A scoping review.
Published 2023-01-01“…Identifying the distribution of aerobic capacity in a population may help estimate their health status. This study aimed to estimate standard values of aerobic capacity (peak oxygen uptake [Formula: see text] and anaerobic threshold [AT]/kg) for the Japanese population stratified by sex and age using a meta-analysis. …”
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Using Propensity Score Matching Technique to Estimate Utilization and Costs of General Practitioners’ Services associated with Alzheimer’s Disease
Published 2016-03-01“…**Design:** PSM was used to estimate the additional use and cost of GP services attributable to AD. …”
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Channel estimation for double IRS-assisted millimeter wave MIMO systems based on tensor decomposition and manifold optimization
Published 2024-12-01Subjects: Get full text
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1667
Compressive Sensing Based Bayesian Sparse Channel Estimation for OFDM Communication Systems: High Performance and Low Complexity
Published 2014-01-01“…Computer simulations show that proposed method can improve the estimation performance when comparing with conventional SCE methods.…”
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Magnetization Estimation Technique of Permanent Magnets Loaded on Rotor of IPMSM Using Actual Measurement Value of Leakage Flux
Published 2025-01-01Subjects: Get full text
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An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables
Published 2014-01-01“…The properties of the proposed class of estimators are studied under large sample approximation. …”
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1670
A Fuzzy Interpolation Cross-Correlation Method for Time-Delay Estimation of Partial Discharge UHF Pulse Signals
Published 2021-01-01“…Time-delay estimation of partial discharge (PD) ultrahigh-frequency (UHF) pulse signals is one of the effective means to diagnose the local defect of electrical equipment. …”
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1671
Hamiltonian Neural Network 6-DoF Rigid-Body Dynamic Modeling Based on Energy Variation Estimation
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How long does carbon stay in a near-pristine central Amazon forest? An empirical estimate with radiocarbon
Published 2025-01-01“…We discuss these results in the context of previous model-based estimates of mean transit time for<span id="page456"/> tropical forests and the Amazon region. …”
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Performance Analysis of MIMO-STBC Systems with Higher Coding Rate Using Adaptive Semiblind Channel Estimation Scheme
Published 2014-01-01“…Semiblind channel estimation method provides the best trade-off in terms of bandwidth overhead, computational complexity and latency. …”
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1678
Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients
Published 2024-06-01“…A Bayesian approach is used for model estimation while a simulation study assesses the performance of the models and sensitivity of results to different prior distributions. …”
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1679
Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength
Published 2025-01-01“…Recent advancements in artificial neural networks (ANNs) have shown promise in simplifying this task by estimating it with high accuracy. Nevertheless, conventional ANNs often require deep networks to achieve acceptable results in cases with large datasets and where generalization is required for a variety of mixtures. …”
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