Results 31 to 40 of about 83,751 (262)

Multiple Feature Extraction Long Short-Term Memory Using Skip Connections for Ship Electricity Forecasting

Journal of Marine Science and Engineering, 2023
The power load data of electric-powered ships vary with the ships’ operational status and external environmental factors such as sea conditions. Therefore, a model is required to accurately predict a ship’s power load, which depends on changes in the ...
Ji-Yoon Kim, Jin-Seok Oh
doaj   +1 more source

Relationshio between Root Mean Square Error and Probable Error.

Journal of the Japan society of photogrammetry and remote sensing, 1994
The relationship between Root Mean Square (RMS) error and probable error was investigated under the condition of normal distribution with independent x, y and z error components. In the ideal case of no bias and equal standard deviations (in the case of two or three dimensions), the ratios of 90% probable error to RMS error are 1.645 (one dimensional ...
TATEISHI, Ryutaro, WEN, Chengang
openaire   +2 more sources

Neutron optical test of completeness of quantum root-mean-square errors [PDF]

npj Quantum Information, 2021
AbstractWhile in classical mechanics the mean error of a measurement is solely caused by the measuring process (or device), in quantum mechanics the operator-based nature of quantum measurements has to be considered in the error measure as well. One of the major problems in quantum physics has been to generalize the classical root-mean-square error to ...
Stephan Sponar, Armin Danner, Masanao Ozawa, Yuji Hasegawa   +3 more
openaire   +4 more sources

Hybrid ARIMA-LSTM for COVID-19 forecasting: a comparative AI modeling study [PDF]

PeerJ Computer Science
Pandemics present critical challenges to global health systems, economies, and societal structures, necessitating the development of accurate forecasting models for effective intervention and resource allocation.
Al Mahmud, Syed Husni Noor Syed Hatim Noor, Kamarul Imran Musa, Firdaus Mohamad Hamzah, Zainab Mat Yudin, Noorshaida Kamaruddin, Ashwini M. Madawana, Mohamad Arif Awang Nawi   +7 more
doaj   +2 more sources

Evaluation of the root mean square error performance of the PAST-Consensus algorithm

2010 International ITG Workshop on Smart Antennas (WSA), 2010
In previous work, we developed and investigated a distributed Projection Approximation Subspace Tracking Algo- rithm (PAST-Consensus) based on Consensus Propagation for wireless sensor networks. Preliminary simulation results showing a good tracking capability and still reduced complexity, have motivated us to evaluate the performance of the ...
Reyes, Carolina, Hilaire, Thibault, Paul, Steffen, Mecklenbräuker, Christoph   +3 more
openaire   +2 more sources

A weighted error-minimizer parameter estimation technique for one-inflated positive Poisson distribution

Results in Control and Optimization
An error-minimizing estimator is always preferred in model fittings. However, each error-minimizing estimator minimizes error differently. This paper combines four error-minimizing estimators, which are root mean-squared error, mean absolute error, root ...
Razik Ridzuan Mohd Tajuddin
doaj   +1 more source

Soundness and completeness of quantum root-mean-square errors [PDF]

npj Quantum Information, 2019
AbstractDefining and measuring the error of a measurement is one of the most fundamental activities in experimental science. However, quantum theory shows a peculiar difficulty in extending the classical notion of root-mean-square (rms) error to quantum measurements.
openaire   +2 more sources

Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation

Energies
Effective machine learning regression models are useful toolsets for managing and planning energy in PV grid-connected systems. Machine learning regression models, however, have been crucial in the analysis, forecasting, and prediction of numerous ...
Burhan U Din Abdullah, Shahbaz Ahmad Khanday, Nair Ul Islam, Suman Lata, Hoor Fatima, Sarvar Hussain Nengroo   +5 more
doaj   +1 more source

COMPARISON OF MISSING VALUE IMPUTATION USING MEAN, BAYESIAN KNN, AND NON-BAYESIAN KNN ON TEP GENE EXPRESSION DATA

Media Statistika
Analysis of gene expression data, particularly in cancer data, often faces challenges due to the presence of missing values. One approach to overcome this is data imputation.
Mastika Mastika, Titin Siswantining, Alhadi Bustamam   +2 more
doaj   +1 more source

An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity

Beni-Suef University Journal of Basic and Applied Sciences, 2022
Background Prediction of accurate crude oil viscosity when pressure volume temperature (PVT) experimental results are not readily available has been a major challenge to the petroleum industry.
Theddeus T. Akano, Chinemerem C. James
doaj   +1 more source