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Automated Segmentation of Cerebral Aneurysm Using a Novel Statistical Multiresolution Approach
(Computing, 2018 , Master Thesis)
Cerebral Aneurysm (CA) is a vascular disease that threatens the lives of
many adults. It a ects almost 1:5 - 5% of the general population. Sub-
Arachnoid Hemorrhage (SAH), resulted by a ruptured CA, has high rates ...
SparkIR: a Scalable Distributed Information Retrieval Engine over Spark
(Computing, 2020 , Master Thesis)
Search engines have to deal with a huge amount of data (e.g., billions of
documents in the case of the Web) and find scalable and efficient ways to produce
effective search results. In this thesis, we propose to use ...
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 ...
DDI: Drones Detection and Identification using Deep Learning Techniques
(Computing, 2021 , Master Thesis)
Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. Besides their useful applications, an alarming concern ...
Optimal Resource Allocation Using Deep Learning-Based Adaptive Compression For Mhealth Applications
(Computing, 2018 , Master Thesis)
In the last few years the number of patients with chronic diseases that require constant monitoring increases rapidly; which motivates the researchers to develop scalable remote health applications. Nevertheless, transmitting ...
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 ...
EVALUATION OF 2D AND 3D TECHNIQUES FOR SENTIMENT VISUALIZATION
(Computing, 2018 , Master Thesis)
With the rise of user generated content on the Internet, sentiment visualization is being highly researched and practiced. Advances in information visualization, such as the use of three-dimensional visualizations need to ...
Image Steganography Using Deep Learning Methods to Detect Covert Communication in Untrusted Channels
(Computing, 2021 , Master Thesis)
Media has become a primary medium of communication with the help of the constantly evolving technology. Social media like Facebook, YouTube, Twitter, WhatsApp, and other sites have become a platform for exchanging audio, ...
Novel Techniques for Blockchain-enabled IoT Systems Leveraging Reinforcement Learning
(Computing, 2020 , Master Thesis)
In the last decade, blockchain and Smart Contracts (SCs) have attracted unprecedented
attention in academia and industry due to their technical innovation of providing
an immutable distributed ledger with secure cryptographic ...
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, ...