Results 11 to 20 of about 36,988 (280)

Stochastic analysis of an error power ratio scheme applied to the affine combination of two LMS adaptive filters [PDF]

open access: yes, 2011
The affine combination of two adaptive filters that simultaneously adapt on the same inputs has been actively investigated. In these structures, the filter outputs are linearly combined to yield a performance that is better than that of either filter ...
Jean-Yves Tourneret   +5 more
core   +1 more source

Optimal Pilot Design and Error Rate Analysis of Block Transmission Systems in the Presence of Channel State Information (CSI) Estimation Error

open access: yesIEEE Access, 2020
This work proposes novel techniques toward the design of optimal pilot sequences to perform channel estimation in block transmission systems over wideband frequency selective wireless fading channels.
Manjeer Majumder, Aditya K. Jagannatham
doaj   +1 more source

Model identification of Solid Oxide Fuel Cell using hybrid Elman Neural Network/Quantum Pathfinder algorithm

open access: yesEnergy 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
doaj   +1 more source

Performance Analysis of Interferometer Algorithm under Phase Measurement Error

open access: yesApplied Sciences, 2021
Direction finding has been extensively studied over the past decades and a number of algorithms have been developed. In direction finding, theoretic performance prediction is a fundamental problem.
Chan-Bin Ko, Joon-Ho Lee
doaj   +1 more source

Computable lower bounds for deterministic parameter estimation [PDF]

open access: yes, 2007
This paper is primarily tutorial in nature and presents a simple approach(norm minimization under linear constraints) for deriving computable lower bounds on the MSE of deterministic parameter estimators with a clear interpretation of the bounds. We also
Chaumette, Eric   +7 more
core   +1 more source

Correlation Analysis of Factors Affecting Firm Performance and Employees Wellbeing: Application of Advanced Machine Learning Analysis

open access: yesAlgorithms, 2022
Given the importance of identifying key performance points in organizations, this research intends to determine the most critical intra- and extra-organizational elements in assessing the performance of firms using the European Company Survey (ECS) 2019 ...
Jozsef Pap   +6 more
doaj   +1 more source

Storage Time prediction of Frozen Meat using Artificial Neural Network modeling with Color values

open access: yesRevista Científica, 2023
Among the various methods available to determine the storage time of frozen meat, including analyses based on physical and chemical properties, sensory analysis, particularly color changes, is an important aspect of meat acceptability for consumers.
Saliha Lakehal, Brahim Lakehal
doaj   +1 more source

Bayesian Estimators of the parameter and Reliability Function of Inverse Rayleigh Distribution" A comparison study "

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2020
     In this paper, Bayesian estimator for the parameter and reliability function of inverse Rayleigh distribution (IRD) were obtained Under three types of loss function, namely, square error loss function (SELF), Modified Square error loss function ...
Masooma Ali Abod, Hazim Mansoor Gorgee
doaj   +1 more source

Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)

open access: yesJINAV: Journal of Information and Visualization, 2020
Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
openaire   +1 more source

K-means method with linear search algorithm to reduce Means Square Error (MSE) within data clustering

open access: yesIOP Conference Series: Materials Science and Engineering, 2018
K-means method is limited in identifying and grouping the data by characteristics similarity in clustering. This study develops K-Means method with LSA to fix the issue of objectivity in data clustering as compared to K-Means method used lately. Data variables used are study load (credits) and study period (semester) of students in two academic years ...
S Sriadhi   +4 more
openaire   +1 more source

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