Flight trajectory prediction enabled by time-frequency wavelet transform

Z Zhang, D Guo, S Zhou, J Zhang, Y Lin - Nature Communications, 2023 - nature.com
Accurate flight trajectory prediction is a crucial and challenging task in air traffic control,
especially for maneuver operations. Modern data-driven methods are typically formulated as …

[图书][B] Wavelet analysis: basic concepts and applications

S Arfaoui, AB Mabrouk, C Cattani - 2021 - taylorfrancis.com
Wavelet Analysis: Basic Concepts and Applications provides a basic and self-contained
introduction to the ideas underpinning wavelet theory and its diverse applications. This book …

Multiple seasonal STL decomposition with discrete-interval moving seasonalities

O Trull, JC García-Díaz, A Peiró-Signes - Applied Mathematics and …, 2022 - Elsevier
The decomposition of a time series into components is an exceptionally useful tool for
understanding the behaviour of the series. The decomposition makes it possible to …

A hybridization of teaching–learning-based optimization and differential evolution for chaotic time series prediction

L Wang, F Zou, X Hei, D Yang, D Chen, Q Jiang… - Neural computing and …, 2014 - Springer
Chaotic time series prediction problems have some very interesting properties and their
prediction has received increasing interest in the recent years. Prediction of chaotic time …

A wavelet-based hybrid neural network for short-term electricity prices forecasting

F Saâdaoui, H Rabbouch - Artificial Intelligence Review, 2019 - Springer
Forecasting is a very important and difficult task for various economic activities. Despite the
great evolution of time series modeling, forecasters are still in the hunt for better strategies to …

Multiresolutional statistical machine learning for testing interdependence of power markets: A Variational Mode Decomposition-based approach

F Saâdaoui, S Mefteh-Wali, SB Jabeur - Expert Systems with Applications, 2022 - Elsevier
In the increasingly interconnected and digitized world, the field of electricity price forecasting
has benefited from growing research especially due to the market liberalization and the …

Using Evolving ANN‐Based Algorithm Models for Accurate Meteorological Forecasting Applications in Vietnam

T Chen, N Kapron, JCY Chen - Mathematical Problems in …, 2020 - Wiley Online Library
The reproduction of meteorological tsunamis utilizing physically based hydrodynamic
models is complicated in light of the fact that it requires large amounts of information, for …

Soil water simulation and predication using stochastic models based on LS-SVM for red soil region of China

J Deng, X Chen, Z Du, Y Zhang - Water resources management, 2011 - Springer
The seasonal drought and the low available soil moisture affect the agricultural production in
red soil region, China. Therefore, it is necessary to simulate and predict the dynamic …

The Systematic Risk at the Crisis—A Multifractal Non-Uniform Wavelet Systematic Risk Estimation

M Sarraj, A Ben Mabrouk - Fractal and Fractional, 2021 - mdpi.com
In the last decade, many factors, such as socio-political and econo-environmental ones,
have led to a perturbation in the timeline of the worldwide development, and especially in …

[图书][B] Fractal analysis: Basic concepts and applications

C Cattani, A Ben Mabrouk, S Arfaoui - 2022 - World Scientific
Fractals in analysis, geometry, and generally in science are nowadays very popular
concepts. The appearance of such concepts in science is due essentially to Mandelbrot by …