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In this paper, two new infrared precipitation estimation approaches based on the concept of k-means clustering are first proposed, named the NAW-Kmeans and the GPI-Kmeans methods.
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An estimation approach based on the ant colony optimization (ACO) and time-frequency (TF) analysis is proposed.
Computer image processing techniques allow the validation of the present flow estimation approach based on electrical variables.
We propose an inflight SEU rate estimation approach based on a modeled heavy ion cross section as opposed to the standard experimental characterization.
Motivated by the inaccuracy of existing CBL methods, this paper proposes a residential CBL estimation approach based on load pattern (LP) clustering to improve the accuracy of CBL estimation.
A multivariate stochastic soil moisture (SM) estimation approach based on a Gaussian-mixture nonstationary hidden Markov model (GM-NHMM) is introduced in this study to spatially disaggregate the AMSR2 SM data for multiple locations in the Yongdam dam watershed in South Korea.
Furthermore, a parameters estimation approach based on genetic algorithm is also developed to facilitate the transformation between the generic model and other geometrical models, as well as to improve its flexibility and applicability.
A state of charge (SOC) estimation approach based on an adaptive sliding mode observer (SMO) and a fractional order equivalent circuit model (FOECM) for lithium-ion batteries is proposed in this paper.
We, therefore, propose a DOA estimation approach based on group sparsity for the nonproportional spectra case.
In [17], a joint fine time synchronization and channel estimation approach based on a unique MOS was proposed.
We propose a blind estimation approach, based on the correlation and the cyclostationarity induced by the OFDM CP.
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CEO of Professional Science Editing for Scientists @ prosciediting.com