Articles with "detection approach" as a keyword



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A Data-Driven Fault Detection Approach with Performance Optimization†

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Published in 2018 at "Canadian Journal of Chemical Engineering"

DOI: 10.1002/cjce.22994

Abstract: This paper is concerned with the data-driven realization of fault detection approach with performance optimization. For our purpose, the data-driven realization form of linear kernel representations is studied first, which is essential in our work.… read more here.

Keywords: fault detection; detection approach; data driven; performance ... See more keywords
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An outlier detection approach in large-scale data stream using rough set

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Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-019-04421-4

Abstract: Outlier detection has become an important research area in the field of stream data mining due to its vast applications. In the literature, many methods have been proposed, but they work well for simple and… read more here.

Keywords: large scale; stream; outlier detection; approach large ... See more keywords
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An intrusion detection approach based on improved deep belief network

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Published in 2020 at "Applied Intelligence"

DOI: 10.1007/s10489-020-01694-4

Abstract: In today’s interconnected society, cyberattacks have become more frequent and sophisticated, and existing intrusion detection systems may not be adequate in the complex cyberthreat landscape. For instance, existing intrusion detection systems may have overfitting, low… read more here.

Keywords: approach based; network; intrusion; intrusion detection ... See more keywords
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Change Detection Approach for SAR Imagery Based on Arc-Tangential Difference Image and k-Means++

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3127964

Abstract: In this letter, an unsupervised change detection (CD) approach based on arc-tangential difference and $k$ -Means++ clustering is presented for synthetic aperture radar (SAR) remote-sensing images. The images are first standardized with their variance values… read more here.

Keywords: change detection; detection approach; arc tangential; difference ... See more keywords
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An Exploit Kits Detection Approach Based on HTTP Message Graph

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Published in 2021 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2021.3080082

Abstract: The exploit kits (EKs) are used by attackers to distribute malware automatically and silently. Existing approaches to EKs detection usually need to perform dynamic analysis on the content contained in the network traffic, which requires… read more here.

Keywords: detection approach; exploit kits; kits detection; analysis ... See more keywords
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A Signal Detection Approach in a Multiple Cohort Study: Different Admission Tools Uniquely Select Different Successful Students

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Published in 2018 at "Frontiers in Education"

DOI: 10.3389/feduc.2018.00030

Abstract: Using multiple admission tools in university admission procedures is common practice. This is particularly useful if different admission tools uniquely select different subgroups of students who will be successful in university programs. A signal-detection approach… read more here.

Keywords: admission; successful students; signal detection; admission tools ... See more keywords
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Outlier Detection with Reinforcement Learning for Costly to Verify Data

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Published in 2023 at "Entropy"

DOI: 10.3390/e25060842

Abstract: Outliers are often present in data and many algorithms exist to find these outliers. Often we can verify these outliers to determine whether they are data errors or not. Unfortunately, checking such points is time-consuming… read more here.

Keywords: detection; outlier detection; reinforcement learning; detection approach ... See more keywords
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A Tip–Tilt and Piston Detection Approach for Segmented Telescopes

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Published in 2020 at "Photonics"

DOI: 10.3390/photonics8010003

Abstract: Accurate segmented mirror wavefront sensing and control is essential for next-generation large aperture telescope system design. In this paper, a direct tip–tilt and piston error detection technique based on model-based phase retrieval with multiple defocused… read more here.

Keywords: error; tilt piston; detection approach; tip tilt ... See more keywords