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3181
SMART TRAFFIC SIGNAL CONTROL SYSTEM FOR TWO INTER-DEPENDENT INTERSECTIONS IN AKURE, NIGERIA
Published 2022-10-01“…The system developed in this work uses deep learning and computer vision techniques to estimate the density of traffic and uses this information to adaptively switch traffic signals based on the traffic density estimated. …”
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3182
Estimación de costos para la producción de guayaba rosada (Psidium guajava L.) en el sur de Florida
Published 2022-02-01“…We estimate that an established pink guava orchard will have a net return of $9065 per acre per year or $1.13 per pound of fruit sold. …”
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3183
A Consistent Immersed Finite Element Method for the Interface Elasticity Problems
Published 2016-01-01“…In this work, we modify the method by adding the consistency terms, so that the estimates of consistency terms are not necessary. We show optimal error estimates in H1 and divergence norms under minimal assumptions. …”
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3184
Some Improvements of Jensen’s Inequality via 4-Convexity and Applications
Published 2022-01-01“…The intention of this note is to investigate some new important estimates for the Jensen gap while utilizing a 4-convex function. …”
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3185
Elastic neural net for the earthquake epicenter search
Published 2002-01-01“…Second-order terms usually not included in the algorithm can be important if the initial estimate is far from the solution.…”
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3186
Florida's Citrus Canker Eradication Program (CCEP): Annual Economic Impact on Florida's Specialty Citrus Fruit Market
Published 2005-09-01“… In the analysis presented in this paper, the benefits of the Citrus Canker Eradication Program (CCEP) on Florida's specialty citrus fruit industry are estimated through an analysis of the Florida citrus industry under the scenario that citrus canker has become established, holding all other factors constant. …”
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3187
Risk based analysis of RHPP penstock structural integrity
Published 2020-07-01“…More recently, the Failure Assessment Diagram has been used to evaluate probability, whereas phenomenological analysis has been used to estimate consequence, in the scope of common risk estimation. …”
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3188
Blind Source Parameters for Performance Evaluation of Despeckling Filters
Published 2016-01-01“…The noise is effectively suppressed using the logarithmic neighborhood shrinkage (NeighShrink) embedded with Stein’s unbiased risk estimation (SURE). The SMPI is three times more effective compared to the wavelet based generalized likelihood estimation approach. …”
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3189
The role of environmental sustainability, foreign direct investment and trade openness in economic growth: with emphasis on the causal linkage
Published 2021-06-01“…The outcomes of long-term estimates of variables indicate that each variable is statistically significant; so that, FDI has the greatest effect on the economic growth. …”
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3190
Global Pollution of Surface Waters from Point and Nonpoint Sources of Nitrogen
Published 2001-01-01“…For point sources, our estimates are based on population densities and human N emissions, sanitation, and treatment. …”
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3191
Unbinding of alpha chain of hemoglobin in sickle and normal structures
Published 2025-01-01“…Hydrogen bonding, solvent accessible surface area (SASA), hydrophobic interactions, salt bridges of sickle and normal hemoglobin have been estimated. The estimated parameters from sickle hemoglobin is compared to normal hemoglobin structure. …”
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3192
Research on Basic Wind Pressure Calculation Method for Lacking Long-Term Wind Speed Data
Published 2022-01-01“…By comparing the optimal criterion of estimation, it can be seen that the extreme value Type III distribution fits well with the monthly maximum wind speed data of each city, and the variable substitution method is the most optimal parameter estimation method. …”
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3193
A Topological Approach to Enhancing Consistency in Machine Learning via Recurrent Neural Networks
Published 2025-01-01“…To address this, we present a novel RNN transition formula intended to produce consistent estimates in a wide range of engineering applications. …”
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3194
Determining the factors affecting the happiness levels of divorced individuals by ordered logistics regression analysis
Published 2022-12-01“…In the study, the happiness levels of divorced individuals were estimated with the ordinal logistic regression model. …”
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3195
Regression Model to Predict Global Solar Irradiance in Malaysia
Published 2015-01-01“…A novel regression model is developed to estimate the monthly global solar irradiance in Malaysia. …”
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3196
When Your Judgment (Mis)Matches Mine: How One’s Self and Others’ Metacognitive Judgments Impact Our Perception of Others
Published 2024-12-01“…Accordingly, there were four conditions varying by other- and self-estimations: high–high, high–low, low–high, and low–low. …”
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3197
Minimal state models for ionic channels involved in glucagon secretion
Published 2010-09-01“…We have also found that our estimated N-type calcium channel population and density in alpha cells is in good agreement to those reported for L-type calcium channelsin beta cells. …”
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3198
Long-Term Rainfall Information Forecast by Utilizing Constrained Amount of Observation through Artificial Neural Network Approach
Published 2021-01-01“…Estimating models are becoming increasingly crucial in highlighting the nonlinear connections of the massive level of rough information and chaotic components. …”
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3199
Ensemble Based Box-Cox Transformation via Meta Analysis
Published 2022-09-01“…These techniques include the use of goodness-of-fit tests for normality; Anderson–Darling, Lilliefors, Cramer-von Mises, Shapiro–Wilk, Jarque–Bera and Shapiro–Francia tests. For the estimation of Box-Cox parameter, we assemble all possible combinations (63 combinations) of estimates calculated by these six methods. …”
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3200
A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations in the Presence of a Baseline Covariate
Published 2018-01-01“…Trial design proceeds by treating cohorts of two patients simultaneously using escalation with overdose control (EWOC), where at each stage of the trial, the next dose combination corresponds to the α quantile of the current posterior distribution of the MTD of one of two agents at the current dose of the other agent and the next patient’s baseline covariate value. The MTD curves are estimated as function of Bayes estimates of the model parameters at the end of trial. …”
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