AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting [PDF]
Frontiers in Artificial IntelligenceIntroductionTime 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 +4 more
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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 +3 more
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Edge-Preserving Decompositions for Multi-Scale with Adaptive TV [PDF]
Proceedings of the 2014 International Conference on Computer, Communications and Information Technology, 2014 Digital image processing has received widespread attention in recent years, multi-scale image decomposition has been extensively studied. Many recent computational photography techniques decompose an image into a smooth base layer, and a residual detail layer.
Zhiqiang Cui, Zhixun Su
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Multi-scale attention mechanism network for Nonintrusive load decomposition [PDF]
Journal of Physics: Conference Series, 2023 Abstract Nonintrusive load decomposition is an important prerequisite to realize intelligent power monitoring and a key application of the smart grid. The existing algorithms cannot achieve the decomposition effect with high accuracy and have poor performance in low-frequency loads.
Weidong Tang +3 more
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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
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Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition [PDF]
Electric Power Systems ResearchComment: Accepted to 23rd Power Systems Computation Conference (PSCC); cross referenced in Electric Power Systems ...
Yuqi Jiang, Yan Li, Yize Chen
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A multi-scale CNN-GRU fusion model with stationary wavelet transform for 14-day ahead dam water level prediction [PDF]
Scientific ReportsThis study investigated the effectiveness of SWT data decomposition in enhancing CNN-GRU early-, slow- and late fusion models for 14-day ahead water level prediction at the Klang Gates Dam.
Kai Wen Ng +5 more
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Parameter‐adaptive nighttime image enhancement with multi‐scale decomposition
IET Computer Vision, 2016 As a challenging problem, image enhancement plays an important role in computer vision applications and has been widely studied. As one of the most difficult issues of image enhancement, outdoor nighttime image enhancement suffers from noise ...
Shuhang Wang, Jin Zheng, Bo Li
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Crude Oil Price Prediction Based On Multi-scale Decomposition [PDF]
, 2007 A synergetic model (DWT-LSSVM) is presented in this paper. First of all, the raw data is decomposed into approximate coefficients and the detail coefficients at different scales by discrete wavelet transforms (DWT). These coefficients obtained by previous phase are then used for prediction independently using least squares support vector machines ...
Yejing Bao +3 more
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Photovoltaic Decomposition Method Based on Multi-Scale Modeling and Multi-Feature Fusion [PDF]
EnergiesDeep 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 +7 more
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