Results 11 to 20 of about 580,024 (270)
Boscovich Fuzzy Regression Line
Mathematics, 2021 We introduce a new fuzzy linear regression method. The method is capable of approximating fuzzy relationships between an independent and a dependent variable.
Pavel Škrabánek +2 more
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Cumulative Sum Chart Modeled under the Presence of Outliers
Mathematics, 2020 Cumulative sum control charts that are based on the estimated control limits are extensively used in practice. Such control limits are often characterized by a Phase I estimation error.
Nasir Abbas +3 more
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Education Sciences, 2017 Amid growing concerns about the future of the U.S. economy and workforce, educators and policymakers alike have increasingly emphasized the need to expand the number of students interested in, qualified for and actually pursuing careers in science ...
Melanie LaForce +2 more
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Applied Sciences, 2020 This paper presents a novel framework for fraud detection in healthcare systems which self-learns from the historical medical data. Historical medical records are required for training and testing of machine learning models.
Irum Matloob +3 more
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Current Biology, 2013 SummaryReports of photographic memory are widespread but the search for truly extraordinary memory abilities has uncovered only a handful of examples. But the fact that such individuals exist has fascinated and begs the question, what is the source of such abilities? Cyrus Martin reports.
openaire +2 more sources
IEEE Access, 2020 The Received Signal Strength (RSS) fingerprint-based indoor localization method in Wireless Local Area Network (WLAN) environment has been widely used due to its low hardware requirements and high positioning accuracy.
Teng Tan, Lingwen Zhang, Qiumei Li
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Behavior-Based Outlier Detection for Network Access Control Systems [PDF]
, 2019 Network Access Control (NAC) systems manage the access of new devices into enterprise networks to prevent unauthorised devices from attacking network services. The main difficulty with this approach is that NAC cannot detect abnormal behaviour of devices
Dhillon Gurjeet Singh +3 more
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Outlier identification in radiation therapy knowledge-based planning: A study of pelvic cases. [PDF]
, 2017 PURPOSE: The purpose of this study was to apply statistical metrics to identify outliers and to investigate the impact of outliers on knowledge-based planning in radiation therapy of pelvic cases.
Aggarwal +23 more
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Outlier Mining Methods Based on Graph Structure Analysis [PDF]
, 2019 Outlier detection in high-dimensional datasets is a fundamental and challenging problem across disciplines that has also practical implications, as removing outliers from the training set improves the performance of machine learning algorithms.
Almeira, Nahuel +2 more
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The efficiency of different outlier detection approaches in geodetic networks: case study for Pobednik statue [PDF]
Geodetski Vestnik, 2018 In the paper the efficacy of two different approaches for outlier detection in geodetic networks is analysed on a test example of a control network for geodetic monitoring of the Pobednik statue in the Kalemegdan Fortress in Belgrade by applying the mean
Mehmed Batilović +5 more
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