Results 11 to 20 of about 296,811 (276)
Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays [PDF]
Digit. Signal Process., 2020 Coprime arrays enable Direction-of-Arrival (DoA) estimation of an increased number of sources. To that end, the receiver estimates the autocorrelation matrix of a larger virtual uniform linear array (coarray), by applying selection or averaging to the ...
Dimitris G. Chachlakis +3 more
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Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information.
Azam Zamhuri Fuadi +2 more
doaj +1 more source
Energy Reports, 2021 In this research, a new efficient method is introduced for model assessment of Solid Oxide Fuel Cell (SOFC) model using a new hybrid Elman Neural Network (ENN).
Hailong Jia, Bahman Taheri
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IET Signal Processing, 2022 In this work, the authors present an asymptotic high‐dimensional analysis of the regularised zero‐forcing receiver in terms of its mean‐squared error (MSE) and bit error rate (BER) when used for the recovery of binary phase‐shift keying (BPSK) modulated ...
Ayed M. Alrashdi
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Optimum thresholding using mean and conditional mean squared error [PDF]
Journal of Econometrics, 2017 We consider a univariate semimartingale model for (the logarithm of) an asset price, containing jumps having possibly infinite activity (IA). The nonparametric threshold estimator of the integrated variance IV proposed in Mancini 2009 is constructed ...
J. E. Figueroa-L'opez, C. Mancini
semanticscholar +1 more source
Bayesian Estimation of the Exponentiated Fréchet Distribution Parameters [PDF]
The Egyptian Statistical Journal, 2021 This article discusses the Bayesian estimators of the parameters of Exponentiated Fréchet distribution under squared error loss function, elative error loss function and LINEX loss function using the non-informative and uniform priors. The performance of
Amel Abd-El-Monem
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Evaluation of Synthetic Small-area Estimators Using Design-based Methods
Austrian Journal of Statistics, 2019 The use of area-specific design-based mean squared error (MSE) to measure the uncertainty associated with synthetic and direct estimators is appealing since the same model-free criterion is applied. However, the small sample size is often a difficulty in
Partha Lahiri, Santanu Pramanik
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Estimations For The Odd Weibull Distribution under Progressive Type-II Right Censored Samples
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2020 In this study, We introducedperformances Maximum Likelihood (ML) and Bayes estimation under LINEX, GENTROPYand SQUARED loss functions results concerning a progressively type-II censoredsamples for parameters of OddW distribution.
Gülcan Gencer, Kerem Gencer
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Strategies for predictive power: Machine learning models in city-scale load forecasting
e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023 This study focuses on enhancing machine learning (ML) algorithms' performance in predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource allocation, and policymaking.
Orhan Nooruldeen +4 more
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Mean Squared Error Analysis of Quantizers With Error Feedback [PDF]
IEEE Transactions on Signal Processing, 2016 Quantization is a fundamental process in digital signal processing. $\Delta \Sigma$ modulators are often utilized for quantization, which can be easily implemented with static uniform quantizers and error feedback filters.
S. Ohno +3 more
semanticscholar +1 more source