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Detection of statistically significant network changes in complex biological networks
Published 2017“…In addition, its application highlights several novel candidates that cannot be detected by standard single network-based approaches.…”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Anomaly Detection Based Framework for Profile Monitoring
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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Semantics-based approach for detecting flaws, conflicts and redundancies in XACML policies
Published 2015“…This paper addresses this problem through introducing a novel set and semantics based scheme that provides accurate and efficient analysis of XACML policies. …”
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Published 2018“…It is most commonly caused by excessive exposure to Ultraviolet radiation which triggers uncontrollable proliferation of melanocytes. Early detection makes melanoma relatively easily curable. …”
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
Published 2024“…These attacks can be detected using both traditional and modern AI-based models. …”
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Design and Development of Inexpensive Paper-Based Chemosensors for Detection of Divalent Copper
Published 2023“…The easy preparation and high stability of dye solutions, easy functionalization of the paper-based sensors, high selectivity over other cations, low interference of counter anion, and significantly low detection limit of 2.23 ppm make it an effective Cu<sup>2+</sup> ion sensor for real-time application in near future.…”
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection
Published 2015“…<p dir="ltr">Copy number variations are important in the detection and progression of significant tumors and diseases. …”
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Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system
Published 2023“…However, the lack of security measures such as authentication and encryption makes the CAN bus vulnerable to cyberattacks, which affect the safety of passengers and the surrounding environment. Detecting attacks on the CAN bus, particularly masquerade attacks, presents significant challenges. …”
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Novel interpretable and robust web-based AI platform for phishing email detection
Published 2024“…This research offers a practical and highly accurate solution, contributing to the fight against phishing by empowering users with a real-time web-based application for phishing email detection.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers and Electrical 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.compeleceng.2024.109625" target="_blank">https://dx.doi.org/10.1016/j.compeleceng.2024.109625</a></p>…”
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Zeolitic Imidazolate Framework-Based Biosensing Platform for Detection of Covid-19 RNA
Published 2024Get full text
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Dynamic model scaling based on segmented tumor size for breast cancer detection
Published 2025“…This approach represents a notable advancement in breast cancer detection within histopathology images and holds significant potential as a tool in computational pathology.…”
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”
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A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks
Published 2025“…Researchers have proposed various anomaly-based solutions to detect such attacks and address the shortcomings of traditional signature-based methods. …”
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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
Published 2022“…<p>In this paper, special attention is paid to the detection and diagnosis of various incipient faults of uncertain wind energy conversion (WEC) systems. …”