Results 21 to 30 of about 6,285,273 (279)

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

Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for history models sorted by MSE in validation set.

open access: yes, 2023
Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for history models sorted by MSE in validation set.
Tomasz Gutowski (17200042)   +2 more
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

Performance Analysis of Conventional Beamforming Algorithm for Angle-of-Arrival Estimation under Measurement Uncertainty

open access: yesInternational Journal of Antennas and Propagation, 2020
The performance of the conventional beamforming for angle-of-arrival (AOA) estimation algorithm under measurement uncertainty is analyzed. Gaussian random variables are used for modeling measurement noises.
Eun-Kyung Lee, Joon-Ho Lee
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

An Adaptive Salp-Stochastic-Gradient-Descent-Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence
Rainfall prediction is considered to be an esteemed research area that impacts the day-to-day life of Indians. The predominant income source of most of the Indian population is agriculture.
S. Oswalt Manoj   +3 more
doaj   +1 more source

Failure Extropy from a Quantile Perspective

open access: yesStatistica
The present paper explores the domain of failure extropy through the lens of quantile-based concepts, introducing novel results to enhance our understanding of extreme events.
Silpa Subhash   +2 more
doaj   +1 more source

Mean square error (MSE) between each reconstruction algorithm.

open access: yes, 2019
Mean square error (MSE) between each reconstruction algorithm.
Tsutomu Gomi (7382183)   +4 more
core   +1 more source

Penyembunyian Data pada File Video Menggunakan Metode LSB dan DCT

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2014
Abstrak Penyembunyian data pada file video dikenal dengan istilah steganografi video. Metode steganografi yang dikenal diantaranya metode Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT).
Mahmuddin Yunus, Agus Harjoko
doaj   +1 more source

Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods.

open access: yes, 2016
Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods.
Firdaus Afifi (3112299)   +3 more
core   +1 more source

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