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Predictive analytics for maintenance activities in nuclear power plants: a feasibility study
(2021-12-01)
Nuclear power plants are known for their use of legacy systems and processes. As plants age, the amount of maintenance increases while resources remain finite, leading to unwanted delays, affecting the health of assets and ...
The World Trade Web: using network analysis and machine learning as tools for public policy decision-making
(2020-11-01)
The World Trade Web (WTW) contains a wealth of information that upon rigorous analysis can aid governments in public policy decision-making. In my attempt to provide this valuable input, this dissertation uses two main ...
Automatic fall risk detection based on imbalanced data
(2021-08-01)
In recent years, the declining birthrate and ageing population have gradually brought countries into an ageing society. In regards to the accidents that occur amongst the elderly, falls are an important problem that quickly ...
Application-specific transfer learning over edge networks
(2021-11-01)
Transfer learning uses a profound labeled set of data from the source domain to deal with a similar problem for the target domain. Transfer learning provides accurate decision- making when insufficient data samples are ...
Polymorphic Adversarial DDoS attack on IDS using GAN
(2020-12-01)
IDS are essential components in preventing malicious traffic from penetrating networks. IDS have been rapidly enhancing their detection ability using ML algorithms. As a result, attackers look for new methods to evade the ...
On deep learning in physics
(2021-04-01)
Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
(2021-07-01)
Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ...
Predicting the threat of death in stalking cases through Artificial Neural Network
(2020-10-01)
Stalking is a complex phenomenon that needs to be explained through several frameworks of research. During the years, scientists from the psychological, criminological, psychological, and legal fields made important steps ...
Design and development of a machine learning-based framework for phishing website detection
(2022-04-01)
Phishing is a social engineering cyber attack to steal personal information from users. Attackers solicit individuals to click phishing links by sending them emails or social media text messages with deceptive content. ...
Investigation of electrochemical and material properties of TiO2 nanostructures generated by pulsed laser ablation
(2022-04-01)
The most challenging feature of the supercapacitor is low energy density. The supercapacitor's low energy density can be improved by proposing new materials for electrodes, electrolytes, etc. This thesis presents a new ...