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DDoS: DeepDefence and Machine Learning for identifying attacks
(Computing, 2020 , Master Thesis)
Distributed Denial of Service (DDoS) attacks are very common type of
computer attack in the world of internet today. Automatically detecting such type of
DDoS attack packets & dropping them before passing through the ...
Deep Reinforcement Learning for Efficient Uplink NOMA SWIPT Transmissions
(Computing, 2021 , Master Thesis)
A key rival technology in radio access strategies for next generation cellular communications is non-orthogonal multiple access (NOMA) due to its enhanced performance compared to existing multiple access techniques such ...
MOBILE APP FOR HIDDEN DATA ANALYTICS OF ONLINE MARKETPLACE SYSTEMS
(Computer Science, 2016 , Master Thesis)
In this project, an extensive analysis and evaluation of the existing e-marketplaces is performed. The aim of this analysis is to improve the experience of end-users through an Android application that is capable of ...
Blockchain Technology and Reputation System for Smart Grids to Address Cyber-Attacks
(Computing, 2021 , Master Thesis)
The smart grid model has made a big technological leap over the traditional electrical grid. This model contributes to protecting the physical environment as it provides many benefits such as improved quality of services, ...
Application of Machine Learning Techniques for The Prediction of Decompressive Hemicraniectomy Prognosis in Acute Ischemic Stroke
(Computing, 2019 , Master Thesis)
Stroke is one of the leading causes of death in the world with the number of
people suffering from it increasing every year. Ischemic strokes, one of the two main
types of stroke, occur when blood clots block brain ...
Neuropathy Classification of Corneal Nerve Images Using Artificial Intelligence
(Computing, 2019 , Master Thesis)
Nerve variations in the human cornea have been associated with alterations in
the neuropathy state of a patient suffering from chronic diseases. For some diseases,
such as diabetes, detection of neuropathy prior to ...
Encoder-decoder architecture for ultrasound IMC segmentation and CIMT prediction
(Computing, 2021 , Master Thesis)
Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, Common Carotid Artery (CCA) segmentation and Intima-Media Thickness (IMT) measurement have been significantly implemented ...
Privacy-preserving data aggregation in smart power grid systems
(Computing, 2021 , Master Thesis)
Smart Meters (SMs) are IoT end devices used to collect user utility consumption withlimited processing power on the edge of the smart grid (SG). While SMs have significantapplications in providing data analysis to the ...
Quantifying Empathy in Virtual Reality
(Computing, 2021 , Master Thesis)
We propose a multidimensional model in virtual reality (VR) based intervention to quantify empathy enhancement and promotion of prosocial behavior. A simulation in virtual reality is developed, which can be used as a form ...
Multimodal Intrusion Detection System for Cyber Physical Systems
(Computing, 2021 , Master Thesis)
Cyber-Physical Systems (CPS) are deployed to control critical infrastructure in many fields, including industry and manufacturing. In recent years, CPS have been affected by cyberattacks due to the increased connectivity ...