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The aim of our study is to develop an estimation method for SOS operation that can be used to minimize the total cost to the passengers and companies.
To challenge the aforementioned issues, there is a need to develop an estimation tool that should offer high estimation accuracy and limited estimation overhead.
One objective is to develop an estimation method for interurban accessibility based on driver utility as proposed by Kita et al. (2014).
In this work we develop an estimation framework for long-term continuous time infectious disease models that considers both model and estimation noise.
Particularly, we use Bayesian inference and Markov chain Monte Carlo to develop an estimation framework that ensures all model parameters are empirically grounded.
The aim of this study was to develop an estimation equation for energy expenditure during water walking based on the acceleration and walking speed.
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So we developed an estimation model using a new vegetation index VIPD that reflects all information of hyper-multispectral data, and validated the model using Landsat/TM data.
This study also aimed at developing an estimation method of passenger car equivalent of rickshaws and auto rickshaws at signalized intersections by a macroscopic approach.
For this purpose, we developed an estimation method in which the measured temperature of the battery is approximated as a function of cubic spline interpolation.
This research aims to help mitigate this challenge by developing an estimation method using sinusoidal model to fit the typical pattern of seasonal bicycle demand.
We developed an estimation system based on the integration of IMU and RGB-D measurements in order to estimate the velocity of the quadrotor in its body frame.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com