Foued Saâdaoui

Orcid: 0000-0002-0574-2922

According to our database1, Foued Saâdaoui authored at least 27 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Weibull-like bivariate probability density function and associated estimation algorithms.
Commun. Stat. Simul. Comput., October, 2024

Revisiting Islamic banking efficiency using multivariate adaptive regression splines.
Ann. Oper. Res., March, 2024

Multiresolution causality of Bitcoin on GCC stock markets: Utilizing EMD-Granger analytical methodology.
Pattern Recognit. Lett., 2024

Structural self-similarity pattern in global food prices: Utilizing a segmented multifractal detrended fluctuation analysis.
Pattern Recognit. Lett., 2024

2023
Randomized extrapolation for accelerating EM-type fixed-point algorithms.
J. Multivar. Anal., 2023

Investigating volatility transmission across international equity markets using multivariate fractional models.
Int. Trans. Oper. Res., 2023

Using wavelets in the measurement of multiscale dependence between Saudi and selected foreign stock markets.
Int. Trans. Oper. Res., 2023

Data Mining for Estimating the Impact of Physical Activity Levels on the Health-Related Well-Being.
Adv. Data Sci. Adapt. Anal., 2023

Risk Factor Prediction of Heart Disease using Machine Learning Approaches.
Proceedings of the International Conference on Cyberworlds, 2023

2022
Multiresolutional statistical machine learning for testing interdependence of power markets: A Variational Mode Decomposition-based approach.
Expert Syst. Appl., 2022

Multiresolutional Hybrid NLM-Wieneг Filters for X-Ray Image Denoising.
Proceedings of the 8th International Conference on Control, 2022

2021
Efficient implementation of the genetic algorithm to solve rich vehicle routing problems.
Oper. Res., 2021

2020
Hybrid feedforward ANN with NLS-based regression curve fitting for US air traffic forecasting.
Neural Comput. Appl., 2020

Empirical-type simulated annealing for solving the capacitated vehicle routing problem.
J. Exp. Theor. Artif. Intell., 2020

Quadratic extrapolation for accelerating convergence of the EM fixed point problem.
J. Comput. Appl. Math., 2020

Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting.
Int. J. Neural Syst., 2020

Parallel Processing Algorithms for the Vehicle Routing Problem and Its Variants: A Literature Review with a Look into the Future.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Multi-scaled Non-local Means Parallel Filters for Medical Image Denoising.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019
A wavelet-based hybrid neural network for short-term electricity prices forecasting.
Artif. Intell. Rev., 2019

Constraint Programming Based Algorithm for Solving Large-Scale Vehicle Routing Problems.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
A wavelet-assisted subband denoising for tomographic image reconstruction.
J. Vis. Commun. Image Represent., 2018

A vision-based statistical methodology for automatically modeling continuous urban traffic flows.
Adv. Eng. Informatics, 2018

2017
A seasonal feedforward neural network to forecast electricity prices.
Neural Comput. Appl., 2017

Unsupervised video summarization using cluster analysis for automatic vehicles counting and recognizing.
Neurocomputing, 2017

A Recent Brief Survey for the Multi Depot Heterogenous Vehicle Routing Problem with Time Windows.
Proceedings of the Hybrid Intelligent Systems, 2017

2014
A wavelet-based multiscale vector-ANN model to predict comovement of econophysical systems.
Expert Syst. Appl., 2014

2010
Acceleration of the EM algorithm via extrapolation methods: Review, comparison and new methods.
Comput. Stat. Data Anal., 2010


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