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Now showing items 31-40 of 64
Forecasting algae blooms in aquaculture using mussels' openings data
(2021-04-28)
Time series data consists of a series of measurements collected over a period of time.
This type of data is very relevant in several domains, including healthcare, manufacturing,
finance, environment, and many more. For ...
Detecting malicious DNS tunnels via network flow entropy
(2021-12-17)
The thesis proposes the concept of "entropy of a flow" to augment flow statistical features for DNS tunnelling detection, specifically DNS over HTTPS traffic. To achieve this, the use of flow exporters, namely Argus, ...
Developing computational models to understand aging
(2021-12-17)
Aging in biological organisms is a complex process, involving changes at all levels of functioning. No single pathway or mechanism is responsible for aging, leading to the current understanding that aging is due to a number ...
TOWARDS IN-NETWORK IMAGE CLASSIFICATION FOR LATENCY-CRITICAL IOT APPLICATIONS
(2021-12-13)
As the demand for latency-critical applications (intelligent transport systems, medical imaging, surveillance, AR/VR) continues to increase, tasks such as computer vision, which are imperative to these applications, require ...
INVESTIGATING CLUSTER ENSEMBLE METHODS TO DEVELOP PHYSICIAN PHENOTYPES BASED ON PATHOLOGY TEST ORDERING PATTERNS
(2021-04-16)
Pathology laboratory testing is central to medical practice as most diagnostic and therapeutic decisions are guided by the patient’s bloodwork results. Pathology laboratory tests are ordered by clinicians, and it has been ...
APPLICATION OF SUPPORT VECTOR MACHINES TO LONGITUDINAL FUNCTIONAL NEUROIMAGING DATA
(2016-12-15)
The principal objective of this thesis was to test a novel adaptation of the support vector machine (SVM), called a longitudinal support vector machine(LSVM), on longitudinal functional neuroimaging data. LSVM performance ...
Using Named Entities in Post-click News Recommendation
(2016-08-05)
With the growth of online news readers, many news websites use different signals to attract users' initial clicks. However, the problem of keeping users in the web site through post-click news recommendation is relatively ...
Using Machine Learning to Improve Motor Imagery Neurofeedback
(2015)
Machine Learning (ML) was employed to identify features in magnetoencephalography (MEG) recordings of 16 participants performing motor imagery (MI). ML was applied to data obtained using three methods: 1) two sources ...
USING ENSEMBLE CLUSTERING TO IDENTIFY PHENOTYPES OF DIABETES PATIENTS FOR EVALUATING DISEASE PROGRESSION
(2022-04-05)
Diabetes Mellitus (DM) is a chronic health condition that affects multiple organs and is associated with significant morbidity and mortality. The management of diabetes requires periodic pathology investigations and physician ...
Insider Threat Detection Data Augmentation Using WCGAN-GP
(2022-04-12)
This thesis explores the application of Generative Adversarial Networks (GANs) in augmenting insider threat detection datasets to alleviate class imbalance. In addition, a machine learning based insider threat detection ...