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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Evolutionary Multi-Objective Feature Selection Algorithms on Multiple Smart Sustainable Community Indicator Datasets
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Novel Transfer Learning Based Deep Features for Diagnosis of Down Syndrome in Children Using Facial Images
Down syndrome, also known as trisomy 21, is one of the most prevalent chromosomal disorders affecting children worldwide [1]. Down syndrome is characterized by an extra copy of chromosome 21, which gives rise to a distinct set of physical and cognitive traits [2]. The physical traits include distinctive facial features, such as almond-shaped eyes, a flattened nasal bridge, and a protruding tongue, which serve as critical diagnostic indicators.
Novel Class Probability Features for Optimizing Network Attack Detection With Machine Learning
SECTION II. Literature Analysis The literature analysis on network attacks in IDS reveals a growing body of research focused on developing robust and efficient methodologies to detect and mitigate sophisticated cyber threats. Studies indicate that traditional signature-based approaches are insufficient in dealing with evolving attack vectors, leading to a shift towards anomaly detection techniques such as deep and machine learning models [9].
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