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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 ...
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 ...
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, ...
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, ...
Deep Learning IoT Malware Detection Model for IoMT Edge Devices
(Computing, 2021 , Master Thesis)
Internet of Things (IoT) is defined as the massive collection of physical devices being connected to the Internet. IoT has a positive impact in multiple fields, such as health, agriculture, and power management sectors by ...
DYNAMIC RESOURCE ALLOCATION OF EMBB/URLLC TRAFFIC IN 5G NR
(Computing, 2021 , Master Thesis)
5G technology is intended to support three promising services with heterogeneous requirements: Ultra-Reliable and Low Latency Communication (uRLLC), enhanced Mobile Broadband (eMBB) and massive Machine Type Communication ...
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 ...
Free Chain: Enabling Freedom of Expression through Public Blockchains
(Computing, 2021 , Master Thesis)
Everyone should have the right to expression and opinion without interference. Nevertheless, Internet censorship is often misused to block freedom of speech. The distributed ledger technology provides a globally shared ...
An efficient PPG Compression Technique for Wearable Health Devices
(Computing, 2021 , Master Thesis)
Photoplethysmography is a simple, widely used, low-cost technique to acquire important diagnostic information for assessing significant physiological parameters of the human body based on the amount of light reflected from ...