Results 11 to 20 of about 8,888,697 (293)

Multi-Focus Image Fusion Method Based on Multi-Scale Decomposition of Information Complementary [PDF]

Entropy, 2021
Multi-focus image fusion is an important method used to combine the focused parts from source multi-focus images into a single full-focus image. Currently, to address the problem of multi-focus image fusion, the key is on how to accurately detect the ...
Hui Wan, Xianlun Tang, Zhiqin Zhu, Weisheng Li   +3 more
doaj   +5 more sources

From Multi-Scale Decomposition to Non-Multi-Scale Decomposition Methods: A Comprehensive Survey of Image Fusion Techniques and Its Applications

IEEE Access, 2017
Image fusion is a well-recognized and a conventional field of image processing. Image fusion provides an efficient way of enhancing and combining pixel-level data resulting in highly informative data for human perception as compared with individual input
Ayush Dogra, Bhawna Goyal, Sunil Agrawal
doaj   +4 more sources

AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting [PDF]

Frontiers in Artificial Intelligence
IntroductionTime series analysis plays a critical role in various applications, including sensor data monitoring, weather forecasting, economic predictions, and network traffic management. While traditional methods primarily focus on modeling time series
Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan   +4 more
doaj   +2 more sources

A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis [PDF]

Proceedings of the VLDB Endowment
Time series data, including univariate and multivariate ones, are characterized by unique composition and complex multi-scale temporal variations. They often require special consideration of decomposition and multi-scale modeling to analyze.
Shuhan Zhong, Sizhe Song, Weipeng Zhuo, Guanyao Li, Yang Liu 0278, S.-H. Gary Chan   +5 more
core   +6 more sources

Transfer learning based CEEMDAN-VMD secondary decomposition and multi-scale modeling for short-term electricity market price trend forecasting [PDF]

Scientific Reports
This paper proposes a short-term electricity market price trend forecasting framework based on transfer learning, which centers on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)- Variational Mode Decomposition (VMD ...
Yi Zhang, Xueqiang Song, Changfeng Li, Zhongming Zhang, Jun Zhang   +4 more
doaj   +2 more sources

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   +2 more sources

Heterogeneous Domain Decomposition for Multi-Scale Problems

43rd AIAA Aerospace Sciences Meeting and Exhibit, 2005
The objective of this work is to develop numerical tools useful for the understanding of fundamental phenomena in Blood Flow, including some biochemistry and cellular dynamics. An open problem that may benefit from multi-scale numerical tools is for example the understanding of the relation ship between inflammation and cholesterol plaque.
Marc Garbey, Christophe Picard, Roger Tran-Son-Tay   +2 more
openaire   +2 more sources

Photovoltaic Decomposition Method Based on Multi-Scale Modeling and Multi-Feature Fusion

Energies
Deep learning-based Non-Intrusive Load Monitoring (NILM) methods have been widely applied to residential load identification. However, photovoltaic (PV) loads exhibit strong non-stationarity, high dependence on weather conditions, and strong coupling ...
Zhiheng Xu, Peidong Chen, Ran Cheng, Yao Duan, Qiang Luo, Huahui Zhang, Zhenning Pan, Wencong Xiao   +7 more
doaj   +2 more sources

Hierarchical decomposition of multiscale skeletons

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
This paper presents a new procedure to hierarchically decompose a multi-scale discrete skeleton. The skeleton is a linear pattern representation that is generally recognized as a good shape descriptor. For discrete images, the discrete skeleton is often preferable. Multi-resolution representations are convenient for many image analysis tasks.
Borgefors G, Ramella G, Sanniti di Baja G   +2 more
openaire   +4 more sources

A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition [PDF]

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Many real-world time series exhibit multiple seasonality with different lengths. The removal of seasonal components is crucial in numerous applications of time series, including forecasting and anomaly detection. However, many seasonal-trend decomposition algorithms suffer from high computational cost and require a large amount of data when multiple ...
Linxiao Yang, Qingsong Wen, Bo Yang 0045, Liang Sun 0001   +3 more
openaire   +3 more sources