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A Coordinate-Conditioned Multiscale Framework for Short-Horizon Trajectory Forecasting: Mathematical Analysis and Numerical Experiments

Mathematics
This paper studies short-horizon trajectory forecasting through a coordinate-conditioned multiscale architecture, termed AeroMixer. The framework combines segment-wise local Cartesian re-representation, multiscale decomposition, bidirectional trend ...
Yu Lai, Yong Chen, Yang Yang
doaj   +1 more source

Excavate the Potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Underwater image enhancement techniques typically rely on multiscale feature extraction to restore images degraded by light absorption and scattering.
Zheng Cheng, Wenri Wang, Guang-Yong Chen, Yakun Ju, Yihua Cheng, Zhisong Liu, Yanda Meng, Jintao Song   +7 more
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Tourist Arrival Forecasting Using Multiscale Mode Learning Model

Mathematics, 2022
The forecasting of tourist arrival depends on the accurate modeling of prevalent data patterns found in tourist arrival, especially for daily tourist arrival, where tourist arrival changes are more complex and highly nonlinear.
Kaijian He, Don Wu, Yingchao Zou
doaj   +1 more source

Spatial coherence-based recurrence proper orthogonal decomposition method and its application in flow field analysis

Kongqi donglixue xuebao
Data-driven modal decomposition is a fundamental approach for identifying and extracting multiscale coherent structures in complex vortical flow fields.
Jinlei Cui, Lei He, Yinan Kong, Jinpei Xiao, Jinpei Xiao, Jiazhe Lin, Weiqi Qian   +6 more
doaj   +1 more source

Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition

Applied Sciences
Full-waveform velocity inversion has long been a primary focus in seismic exploration. Full-waveform inversion techniques employing physics-informed recurrent neural networks (PIRNNs) have recently gained significant scholarly attention.
Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang   +5 more
doaj   +1 more source

Wavelet-Based Hybrid Model for Short-Term Wind Speed Forecasting in Coastal Brazil

IEEE Access
Short-term wind speed forecasting remains challenging due to the inherent nonstationarity and multiscale variability of atmospheric processes. This study proposes a hybrid multiscale forecasting framework combining four-level discrete wavelet transform ...
Marcos Batista Figueredo, Marcos Antonio Felipe Santos, Thiago Barros Murari, Roberto Luiz Souza Monteiro, Alexandre do Nascimento Silva, Leandro Brito Santos, Jose Roberto de Araujo Fontoura   +6 more
doaj   +1 more source

Multi-Horizon Significant Wave Height Forecasting with Multiscale Decomposition and Topological Feature Selection

Journal of Marine Science and Engineering
Accurate multi-horizon Significant Wave Height (SWH) forecasting is vital for offshore safety and efficiency. Beyond scheduling maintenance windows, reliable lead-time predictions provide critical early warnings to protect personnel and high-value assets
Zeping Liu, Guoyou Shi, Mina Lv, Tao Wu, Xinjian Wang   +4 more
doaj   +1 more source

Destripe Any Scale: Effective Stripe Removal Via Multiscale Decomposition Using the Luojia3-02 Stripe-Noise Dataset

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Stripe noise is a significant challenge in remotely sensed satellite images, primarily originating from inconsistencies in push-broom scanning systems. This noise manifests as linear, repetitive patterns that degrade image quality and impede the accurate
Ru Chen, Mi Wang, Yingdong Pi, Ru Wang, Tao Peng, Fan Yang, Rongfan Dai   +6 more
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Two-Level Domain Decomposition Methods for Highly Heterogeneous Darcy Equations. Connections with Multiscale Methods

Oil & Gas Science and Technology, 2014
Multiphase, compositional porous media flow models lead to the solution of highly heterogeneous systems of Partial Differential Equations (PDE). We focus on overlapping Schwarz type methods on parallel computers and on multiscale methods.
Dolean Victorita, Jolivet Pierre, Nataf Frédéric, Spillane Nicole, Xiang Hua   +4 more
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Multiscale Tensor Dictionary Learning Approach for Multispectral Image Denoising

IEEE Access, 2018
Taking advantage of different sensitivities of each component/material in an object to different bands, multispectral image (MSI) is obtained by shooting the object from multiple bands individually or simultaneously.
Lin Zhai, Yanbo Zhang, Hongli Lv, Shujun Fu, Hengyong Yu   +4 more
doaj   +1 more source