Usually databases are treated primarily as fairly dumb data storage systems, but they can be capable of much more. Case in point the PostgreSQL database and its – Ada-based – PL/pgSQL programming ...
It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...
Nonlinear exponential trend model is linearized into the linear model, then linearized model parameters are regarded as the state vector containing the dynamic noise to erect Kalman filter model based ...
Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...
Using Kalman equations, we derive straightforward formulas for the total imputation variance for several imputation methods commonly used in regression analysis and (un)equal probability sampling ...
Neural network (NN) models often struggle to remain accurate when underlying systems drift from training conditions, necessitating costly and time-consuming model maintenance. Traditional approaches – ...
The time series analysis subroutines are an adaptation of parts of the TIMSAC (TIMe Series Analysis and Control) package developed by the Institute of Statistical Mathematics (ISM) in Japan.
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