Searched for: subject%3A%22Unsupervised%255C+Machine%255C+Learning%22
(1 - 7 of 7)
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Leenen, Femke (author)
Introduction <br/>Opioids are vital for pain management but are highly addictive and may lead to opioid-induced respiratory depression (OIRD), which is the primary cause of death related to both prescription and illicit opioid use. This study employed unsupervised machine learning (ML) to examine potential changes in cluster patterns post-opioid...
master thesis 2024
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Esselman, Allison B. (author), Patterson, Nathan Heath (author), Migas, L.G. (author), Dufresne, Martin (author), Djambazova, Katerina V. (author), Colley, Madeline E. (author), Van de Plas, Raf (author), Spraggins, Jeffrey M. (author)
The glomerulus is a multicellular functional tissue unit (FTU) of the nephron that is responsible for blood filtration. Each glomerulus contains multiple substructures and cell types that are crucial for their function. To understand normal aging and disease in kidneys, methods for high spatial resolution molecular imaging within these FTUs...
journal article 2023
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Karpova, Natalia (author)
Anomaly detection has gathered plenty of attention in the previous years. However, there is little evidence of the fact that existing anomaly detection models could show similar performance on different streaming datasets. <br/>Within this study, we research the applicability of existing anomaly detectors to a wide range of univariate streams....
master thesis 2022
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Puts, Elmar (author)
Many contemporary interplanetary missions use efficient low-thrust engines to reach the far corners of our Solar System. Their trajectories, however, have proven to be complicated to optimise due to the non-impulsive manoeuvres involved in low-thrust spaceflight. Even though shaping methods have been used extensively to reduce the computational...
master thesis 2021
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Epifanov, Mikhail (author)
Malware Packet-sequence Clustering and Analysis (MalPaCA) is a unsupervised clustering application for malicious network behavior, it currently uses solely sequential features to characterize network behavior. In this paper an extensive comparison between those features and statistical features is performed. During the comparison a better...
bachelor thesis 2021
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Ciulei, Victor (author)
Airlines plan the trajectory of their flights in advance. However, this plan is not always followed since, during the actual flight, aircraft deviate either horizontally by rerouting, or vertically by choosing a different Flight Level. The issue arises when some airlines frequently deviate from their flight plans frequently, to the disadvantage...
master thesis 2020
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Simidžioski, Magdalena (author)
To detect malicious activities in a network, intrusion detection systems are used. Even though these solutions are widely deployed for this purpose they have one serious shortcoming which is the huge amount of false alarms that they are generating. Different measures are taken to tackle this problem such as manually changing the settings of the...
master thesis 2020
Searched for: subject%3A%22Unsupervised%255C+Machine%255C+Learning%22
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