Flight trajectory prediction enabled by time-frequency wavelet transform
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 …
especially for maneuver operations. Modern data-driven methods are typically formulated as …
[图书][B] Wavelet analysis: basic concepts and applications
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 …
introduction to the ideas underpinning wavelet theory and its diverse applications. This book …
Multiple seasonal STL decomposition with discrete-interval moving seasonalities
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
have led to a perturbation in the timeline of the worldwide development, and especially in …
[图书][B] Fractal analysis: Basic concepts and applications
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 …
concepts. The appearance of such concepts in science is due essentially to Mandelbrot by …