Results 31 to 40 of about 406,624 (295)

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

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

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

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

A novel modification to backpropagation sample selection strategy [PDF]

, 1997
Random sample selection method in backpropagation results in convergence on the error (root of mean squared error, RMSE) surface. These problems, which are caused by the extreme (worst-case) errors, can be solved by a different sample selection strategy.
Redei, Laszlo, Wallinga, Hans
core   +3 more sources

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

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

Root Mean Square Error of Neural Spike Train Sequence Matching with Optogenetics [PDF]

GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017
6 pages, 5 figures.
Adam Noel, Dimitrios Makrakis, Andrew W. Eckford   +2 more
openaire   +2 more sources

Colloquium: Quantum root-mean-square error and measurement uncertainty relations [PDF]

Reviews of Modern Physics, 2014
Recent years have witnessed a controversy over Heisenberg’s famous error-disturbance relation. Here the conflict is resolved by way of an analysis of the possible conceptualizations of measurement error and disturbance in quantum mechanics. Two approaches to adapting the classic notion of root-mean-square error to quantum measurements are discussed ...
Paul Busch, Pekka Lahti, Reinhard F. Werner   +2 more
openaire   +2 more sources