Results 11 to 20 of about 64,008 (285)

Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition [PDF]

Sensors, 2015
A novel scheme to perform the fusion of multiple images using the multivariate empirical mode decomposition (MEMD) algorithm is proposed. Standard multi-scale fusion techniques make a priori assumptions regarding input data, whereas standard univariate ...
Naveed ur Rehman, Shoaib Ehsan, Syed Muhammad Umer Abdullah, Muhammad Jehanzaib Akhtar, Danilo P. Mandic, Klaus D. McDonald-Maier   +5 more
doaj   +4 more sources

Hierarchical Multi-Scale Decomposition and Deep Learning Ensemble Framework for Enhanced Carbon Emission Prediction [PDF]

Mathematics
Carbon emission prediction is critical for climate change mitigation across industrial, transportation, and urban sectors. Traditional statistical and machine learning methods struggle to capture complex multi-scale temporal patterns and long-range ...
Yinuo Sun, Zhaoen Qu, Zhuodong Liu, Xiangyu Li   +3 more
doaj   +2 more sources

Effect of Multi-Scale Decomposition on Performance of Neural Networks in Short-Term Traffic Flow Prediction

IEEE Access, 2021
Numerous studies employ multi-scale decomposition to improve the prediction performance of neural networks, but the grounds for selecting the decomposition algorithm are not explained, and the effects of decomposition algorithms on other performance of ...
Haichao Huang, Jingya Chen, Xinting Huo, Yufei Qiao, Lei Ma   +4 more
doaj   +1 more source

Illumination Adaptive Multi-Scale Water Surface Object Detection with Intrinsic Decomposition Augmentation

Journal of Marine Science and Engineering, 2023
Visual object detection is an essential task for the intelligent navigation of an Unmanned Surface Vehicle (USV), which can sense the obstacles while navigating.
Zhiguo Zhou, Zeming Li, Jiaen Sun, Limei Xu, Xuehua Zhou   +4 more
doaj   +1 more source

Fast multi-scale detail decomposition via accelerated iterative shrinkage [PDF]

SIGGRAPH Asia 2013 Technical Briefs, 2013
We present a fast solution for performing multi-scale detail decomposition. The proposed method is based on an accelerated iterative shrinkage algorithm, able to process high definition color images in real-time on modern GPUs. Our strategy to accelerate the smoothing process is based on the use of first order proximal operators.
Badri, Hicham, Yahia, Hussein, Aboutajdine, Driss   +2 more
openaire   +2 more sources

Multi-scale proper orthogonal decomposition of complex fluid flows [PDF]

Journal of Fluid Mechanics, 2019
Data-driven decompositions are becoming essential tools in fluid dynamics, allowing for tracking the evolution of coherent patterns in large datasets, and for constructing low-order models of complex phenomena. In this work, we analyse the main limits of two popular decompositions, namely the proper orthogonal decomposition (POD) and the dynamic mode ...
M. A. Mendez, M. Balabane, J.-M. Buchlin
openaire   +2 more sources

Subspace Decomposition Based Dnn Algorithm for Elliptic-Type Multi-Scale Pdes [PDF]

SSRN Electronic Journal, 2022
19pages,11 ...
Xi-An Li, Zhi-Qin John Xu, Lei Zhang
openaire   +3 more sources

Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition

Frontiers in Neurorobotics, 2021
Most existing multi-focus color image fusion methods based on multi-scale decomposition consider three color components separately during fusion, which leads to inherent color structures change, and causes tonal distortion and blur in the fusion results.
Hui Wan, Hui Wan, Xianlun Tang, Zhiqin Zhu, Bin Xiao, Weisheng Li   +5 more
doaj   +1 more source

Agile multi-scale decompositions for automatic image registration [PDF]

SPIE Proceedings, 2016
In recent works, the first and third authors developed an automatic image registration algorithm based on a multiscale hybrid image decomposition with anisotropic shearlets and isotropic wavelets. This prototype showed strong performance, improving robustness over registration with wavelets alone.
James M. Murphy, Omar Navarro Leija, Jacqueline Le Moigne   +2 more
openaire   +1 more source

One Dimensional Convolutional Neural Networks Using Sparse Wavelet Decomposition for Bearing Fault Diagnosis

IEEE Access, 2022
This paper proposes a novel algorithm for bearing fault diagnosis using sparse wavelet decomposition for feature extraction combined with a multi-scale one dimensional convolutional neural network (1-D CNN).
Xiaofan Liu, Jason Centeno, Juan Alvarado, Lizhe Tan   +3 more
doaj   +1 more source