Results 101 to 110 of about 270,111 (384)
Employing Extended Kalman Filter in a Simple Macroeconomic Model [PDF]
In this study, the estimation power of Extended Kalman Filter is tested within a simple Keynesian macroeconomic model. After the model is written in a non-linear state space form, Extended Kalman Filter emerges as the appropriate methodology to estimate ...
Fikri Ozturk, Levent Ozbek, Umit Ozlale
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A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
, 2018 An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal +3 more
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Food Frontiers, EarlyView.This review highlights recent biotechnological innovations in the valorization of food waste through enzyme‐assisted processing and microbial fermentation to enhance nutritional, techno‐functional, and shelf‐stable properties for developing sustainable, plant‐based functional foods and nutraceuticals.
Md. Sakhawot Hossain +6 more
wiley +1 more source
An Improvement on Extended Kalman Filter for Neural Network Training [PDF]
, 2005 Information overload has resulted in difficulties of managing and processing information. Reduction of data using well-defined techniques such as rough set may provide a means to overcome this problem.
Tsan, Ken Yim
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Forecasting With Machine Learning Shadow‐Rate VARs
Journal of Forecasting, EarlyView.ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley +1 more source
Precision planter monitoring system based on mobile communication network
IET Networks, EarlyView., 2022 Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley +1 more source
The Journal of Engineering, 2018 Battery management systems (BMS) are widely used in energy storage systems and electric vehicles. The precise estimation of state-of-charge is a key factor affecting the performance of BMS.
Shengwei Gao +3 more
doaj +1 more source
A New Perspective and Extension of the Gaussian Filter
, 2015 The Gaussian Filter (GF) is one of the most widely used filtering algorithms; instances are the Extended Kalman Filter, the Unscented Kalman Filter and the Divided Difference Filter.
Kappler, Daniel +3 more
core +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper studies herding and anti‐herding behaviour in three European stock markets before and during the Covid‐19 pandemic by employing both static and dynamic analysis. We examine four different questions related to herding behaviour: (i) Did herding behaviour increase during the pandemic? (ii) Does herding behaviour respond differently in
Dimitrios Asteriou +3 more
wiley +1 more source
, 2018 Kalman filters and observers are two main classes of dynamic state estimation (DSE) routines. Power system DSE has been implemented by various Kalman filters, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF).
Qi, Junjian +2 more
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