Results 11 to 20 of about 145,710 (264)

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

Channel Estimation and Optimal Pilot Signals for Universal Filtered Multi-Carrier (UFMC) Systems [PDF]

open access: yes, 2017
We propose channel estimation algorithms and pilot signal optimization for the universal filtered multi-carrier (UFMC) system based on the comb-type pilot pattern.
He, Chang   +4 more
core   +1 more source

Analysis and optimization of pilot symbol-assisted Rake receivers for DS-CDMA systems [PDF]

open access: yes, 2006
The effect of imperfect channel estimation (CE) on the performance of pilot-symbol-assisted modulation (PSAM) and MRC Rake reception over time- or frequency-selective fading channels with either a uniform power delay profile (UPDP) or a nonuniform power ...
Cui, Tao, Tellambura, Chintha
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

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

Performance analysis of incremental LMS over flat fading channels [PDF]

open access: yes, 2016
We study the effect of fading in the communication channels between sensor nodes on the performance of the incremental least mean square (ILMS) algorithm, and derive steady state performance metrics, including the mean-square deviation (MSD), excess mean-
Khalili, A, Rastegarnia, A, Sanei, S
core   +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

A Comparative Analysis of Hyperparameter Tuned Stochastic Short Term Load Forecasting for Power System Operator

open access: yesEnergies, 2023
Intermittency in the grid creates operational issues for power system operators (PSO). One such intermittent parameter is load. Accurate prediction of the load is the key to proper planning of the power system.
B. V. Surya Vardhan   +4 more
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

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