Abstract: We propose a novel post-processing approach for the local optimization of Locally Optimized RANdom SAmple Consensus (LO-RANSAC), called the Multi-Estimation-based Parameter Centroid (MEPC) ...
This repository provides an example of Python implementation of the ESMDA algorithm [1]. In this example, the ESMDA is used to estimate meteorological forcing parameters (wind direction and friction ...
The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in the ...
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Population balance equation (PBE) models have the potential to automate many ...
Abstract: The identifiability of parameters in permanent magnet synchronous motors (PMSMs) depends on the operating conditions. Due to disturbances and noise in actual systems, identifiability ...
ABSTRACT: Reservoir rock porosity is usually determined by core analysis, but the cost of this method is huge, in order to establish a more accurate and stable reservoir porosity prediction model.
310+487=797 (actual) added 9/10/2018 11:07:41 pm this answer has been confirmed as. To estimate the sum of the numbers 487 and 310, we can round these numbers to the nearest hundred for simplicity.
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