Results 91 to 100 of about 65,516 (291)
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Convergence analysis of a family of robust Kalman filters based on the contraction principle
, 2017 In this paper we analyze the convergence of a family of robust Kalman filters. For each filter of this family the model uncertainty is tuned according to the so called tolerance parameter.
Zorzi, Mattia
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POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS
Energy Science &Engineering, EarlyView.ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy +5 more
wiley +1 more source
IEEE Access, 2017 The problem of jointly estimating carrier frequencies and their corresponding two-dimension direction of arrivals (DOA) of band-limited source signals is considered in this paper for cognitive radio.
Samar Elaraby +3 more
doaj +1 more source
Vectorization of linear discrete filtering algorithms [PDF]
Linear filters, including the conventional Kalman filter and versions of square root filters devised by Potter and Carlson, are studied for potential application on streaming computers.
Schiess, J. R.
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Regime‐Dependent Nowcasting of the Austrian Economy
Journal of Forecasting, EarlyView.ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley +1 more source
Mixed Noise Reduction in Gray Scale Images Using Hybrid Filters Scheme
Journal of Engineering and Sustainable Development, 2012 n interactive algorithm to restoration of noisy image is presented in this paper. This algorithm composites of two filters working together with scalar recursive Kalman filter at same time.
Karim M. Al-Jebory +2 more
doaj
IEEE Journal of Indoor and Seamless Positioning and NavigationThe algorithms of the Kalman filters have been used in many papers on the Pedestrian Dead Reckoning (PDR) and attitude estimation for the attitude and heading reference system (AHRS).
Shunsei Yamagishi, Lei Jing
doaj +1 more source
Grassland Research, EarlyView.Tiny “ecosystem engineers,” plateau pikas range across 1600 m², about two basketball courts, mixing soil and nutrients that sustain Tibet's fragile grasslands. Custom‐made trackers and drone imagery show dawn‐to‐dusk surface foraging and nested‐scale patch choices, offering fresh guidance for wildlife‐friendly grazing management.
Dan Li, Johannes M. H. Knops, Li Li
wiley +1 more source
Modeling errors in Kalman filters [PDF]
Suboptimal filters based on erroneous models of system dynamics and on a priori ...
Nishimura, T.
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