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Efficient Checking of Timed Ordered Anti-patterns over Graph-Encoded Event Log
Published 2022Subjects: “…Anti pattern detection · Process mining · Graph-encoded event logs…”
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Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma(Lambda, 2) In-Control Times
Published 2020“…The use of an economic statistical design instead of an economic design results in control charts that may be less expensive to implement, that have lower false alarm rates, and that have a higher probability of detecting process shifts. Numerical examples are presented to support this proposition. …”
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Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma (Lambda,2) In-Control Times
Published 2020“…The use of an economic statistical design instead of an economic design results in control charts that may be less expensive to implement, that have lower false alarm rates, and that have a higher probability of detecting process shifts. Numerical examples are presented to support this proposition. …”
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Lung nodule classification utilizing support vector machines
Published 2002“…We intend to automate the pre-processing detection process to further enhance the overall classification.…”
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A Deep Learning based Process Model for Crack Detection in Pavement Structures
Published 2022“…Future work is recommended to be on crack type classification after the successful detection process.…”
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A machine learning approach on chest X-rays for pediatric pneumonia detection
Published 2023“…Thus, there is a significant need for automating the detection process to minimize the potential human error. …”
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How to distribute the detection load among virtual machines to maximize the detection of distributed attacks in the cloud?
Published 2017“…Experimental results on Amazon EC2 pricing dataset reveal that our model increases the probability of detecting distributed attacks, reduces the false positives, and minimizes the resources wasted during the detection process.…”
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Ventilator-associated pneumonia diagnosis: electrochemical sensors for rapid and sensitive detection of <i>pyocyanin</i>
Published 2024“…Using the TiO<sub>2</sub>-NiO-rGO catalyst offers synergistic effects that enhance the detection process’s overall electrochemical performance, sensitivity, and selectivity. …”
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Explainable phishing website detection for secure and sustainable cyber infrastructure
Published 2025“…To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. A dataset with over 11000+ URLs and 30 varied features of the ”Phishing Website Detection” was applied from the Kaggle repository. …”
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A Machine Learning Approach on Chest X-Rays for Pediatric Pneumonia Detection
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Design and Development of Inexpensive Paper-Based Chemosensors for Detection of Divalent Copper
Published 2023“…Copper chloride, nitrate, and acetate were used to validate the detection process. This assay provides a very high selectivity of Cu<sup>2+</sup> ion over other metal cations such as Na<sup>+</sup>, Mg<sup>2+</sup>, Ca2<sup>+</sup>, etc. …”
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Early gas kick detection in vertical wells via transient multiphase flow modelling: A review
Published 2020“…Future studies towards more sophisticated 2-D and 3-D simulations of transient multiphase (G-L) flow models using computational fluid dynamics (CFD) tools are recommended. 2-D and 3-D flow simulations using advanced turbulence models can potentially enhance the accuracy in the calculations of phase velocity, temperature and pressure patterns within the annuli of wellbore and can advance the early gas-kick detection process.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Natural Gas Science and Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jngse.2020.103391" target="_blank">https://dx.doi.org/10.1016/j.jngse.2020.103391</a></p>…”
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
Published 2022“…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …”
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AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
Published 2024“…By integrating <u>DP</u>, we ensure the confidentiality of data during the detection process, setting a new standard for privacy in cybersecurity solutions. …”