Results 1 to 10 of about 8,295 (163)
IEEE Access, 2018 Research on the uncertainty of wind power has a significant influence on power system planning and decision-making. This paper proposes a novel method for wind power interval forecasting based on rough sets theory, weighted Markov chain, and kernel ...
Xue Ma, Xiyun Yang
exaly +3 more sources
Kde hledat východiska antipedagogiky?
Pedagogická Orientace, 2017 N ...
Zdeněk Křivánek
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Unsupervised Detection of Misinformation in Financial Statements
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Companies have incentives to hide, omit, or falsify the information reported in financial statements (FS) (e.g., Balance Sheet, Income Statement, Cash Flow Statement) to give a false impression of the company's financial health, assure investors or evade
AKSHADA SHINDE
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Zhongguo dianli, 2023 In order to meet the requirements of power supply partition and grid planning, a comprehensive evaluation and mid-long term refined prediction method for load density based on big data under power supply scenarios is proposed, and similar units are ...
Wei JIA +3 more
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ISPRS International Journal of Geo-Information, 2020 The aim of the current study is to analyze and extract the useful patterns from Location-Based Social Network (LBSN) data in Shanghai, China, using different temporal and spatial analysis techniques, along with specific check-in venue categories.
Naimat Ullah Khan, Wanggen Wan, Shui Yu
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ISPRS International Journal of Geo-Information, 2023 Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges.
Guiming Zhang, Jin Xu
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ISPRS International Journal of Geo-Information, 2020 The aim of this study is to analyze and compare the patterns of behavior of tourists and residents from Location-Based Social Network (LBSN) data in Shanghai, China using various spatiotemporal analysis techniques at different venue categories. The paper
Naimat Ullah Khan, Wanggen Wan, Shui Yu
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A2Ba: Adaptive Background Modelling for Visual Aerial Surveillance Conditions [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2015 Background modelling algorithms are widely used to define a part of an image that most time remains stationary in a video.In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring.
Francisco Sanchez-Fernandez +2 more
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ISPRS International Journal of Geo-Information, 2020 Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs.
Muhammad Rizwan +2 more
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An Improved Variable Kernel Density Estimator Based on L2 Regularization
Mathematics, 2021 The nature of the kernel density estimator (KDE) is to find the underlying probability density function (p.d.f) for a given dataset. The key to training the KDE is to determine the optimal bandwidth or Parzen window.
Yi Jin, Yulin He, Defa Huang
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