Results 31 to 40 of about 868,146 (162)
MLFGCN: short-term residential load forecasting via graph attention temporal convolution network
IntroductionResidential load forecasting is a challenging task due to the random fluctuations caused by complex correlations and individual differences.
Ding Feng +10 more
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Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection
Smart cities rely on intelligent infrastructure to enhance road safety, optimize traffic flow, and enable vehicle-to-infrastructure (V2I) communication.
Savankumar Bhanderi +2 more
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This paper focuses on data fusion, which is fundamental to one of the most important modules in any autonomous system: perception. Over the past decade, there has been a surge in the usage of smart/autonomous mobility systems. Such systems can be used in
Prasanna Kolar +2 more
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Common Data Fusion Framework: An open-source Common Data Fusion Framework for space robotics
Multisensor data fusion plays a vital role in providing autonomous systems with environmental information crucial for reliable functioning. In this article, we summarize the modular structure of the newly developed and released Common Data Fusion ...
Raul Dominguez +5 more
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A Systematic Review on Fusion Techniques and Approaches Used in Applications
Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered.
Shaidah Jusoh, Sufyan Almajali
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Recent studies have demonstrated that ultrahigh-Q resonances, which are robust to fabrication imperfections, can be realized by merging multiple bound states in the continuum (BICs) in momentum space.
Sun-Goo Lee, Seong-Han Kim, Wook-Jae Lee
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Research Progress on Data Security Governance Under the Background of Big Data
Purposes In this paper, research on various stages of the data life cycle and various security governance technologies has been conducted to achieve data security governance progress by searching and analyzing related technical literatures. Motheds First,
Shuang XU +4 more
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IASI-METOP and MIPAS-ENVISAT data fusion [PDF]
The combination of data obtained with different sensors (data fusion) is a powerful technique that can provide target products of the best quality in terms of precision and accuracy, as well as spatial and temporal coverage and resolution.
S. Ceccherini +4 more
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The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, resulting in alarming incidence and mortality rates among patients with comorbidities, including heart failure.
Yi Liu, Dengao Li, Yuchen Liang
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Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest
The 2013 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society aimed at investigating the synergistic use of hyperspectral and Light Detection And Ranging (LiDAR) data. The data sets
Christian Debes +13 more
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