Computing
Recent Submissions
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BACKGROUND LINKING OF NEWS ARTICLES
(2025 , Dissertation)Nowadays, it is very rare to find a single news article that solely contains all the information about a certain subject or event. This dissertation focuses on addressing the news background linking problem, which aims to ... -
MULTI-TASK LEARNING MODEL FOR MOBILE MALWARE DETECTION AND CLASSIFICATION
(2025 , Master Thesis)The rapid growth of mobile devices, especially those running the Android operating system, has made them attractive targets for cybercriminals. The increasing sophistication of mobile malware, including zero-day threats, ... -
MULTI-LAYER ATTACK DETECTION MODEL FOR BLUETOOTH-CONNECTED DEVICES IN SMART HEALTHCARE SYSTEM
(2023 , Master Thesis)Internet of Things (IoT) is an interconnected network of heterogeneous things through the Internet. The current and next generation of smart healthcare systems are dependent on Internet of Medical things (IoMT) devices ... -
AI-EMPOWERED UAVS FOR RAPID DISASTER RESPONSE AND MANAGEMENT
(2024 , Master Thesis)Efficient disaster response and survivor detection are essential in minimizing casualties and mitigating the impact of disastrous events. This thesis presents an innovative approach to addressing these challenges through ... -
STRONG MARKET-MAKING USING DEEP REINFORCEMENT LEARNING: BITCOIN MARKET ANALYSIS
(2024 , Master Thesis)This study evaluates the use of deep reinforcement learning (DRL) in market-making, specifically in the Bitcoin market. DRL has shown promise in providing robust market-making capabilities, including enhanced market liquidity ... -
RETRIEVAL OF AUTHORITIES AND THEIR EVIDENCE FOR RUMOR VERIFICATION IN ARABIC SOCIAL MEDIA
(2024 , Dissertation)Social media platforms have become a medium for rapidly spreading rumors along with emerging events. Those rumors may have a lasting effect on users' opinion even after it is debunked, and may continue to influence them ... -
A DEEP REINFORCEMENT LEARNING-ENABLED DYNAMIC REDEPLOYMENT SYSTEM FOR MOBILE AMBULANCES IN QATAR
(2024 , Master Thesis)Efficient allocation of ambulances is crucial for Emergency Medical Services (EMS) to respond promptly and deliver life-saving care on time. The challenge lies in the ambulance redeployment problem, which aims to devise ... -
TOWARDS A SAFER METAVERSE: ANOMALY DETECTION IN AVATAR ACTIONS USING HUMAN ACTION TRANSFER LEARNING
(2024 , Master Thesis)The Metaverse has captured global attention as a potential frontier for the internet's future. Avatar actions within this immersive digital realm mirror real-world behaviors, introducing safety concerns like cyberbullying ... -
Optimizing Cloud Virtual Machine Migration: Minimizing Downtime and Migration Time Using Machine Learning
(2024 , Dissertation)Cloud computing has revolutionized the way services are delivered to users, offering unparalleled flexibility and scalability. However, cloud services can become temporarily unavailable due to maintenance, resource allocation, ... -
Enhancing Knowledge Distillation for Text Summarization
(2024 , Master Thesis)In the realm of natural language processing, recent advancements have been significantly shaped by the development of large pretrained Seq2Seq Transformer models, including BART, PEGASUS, and T5. These models have ... -
Phenotaxis: Localization of The Source of Phenomena Using Mobile Searchers
(2024 , Master Thesis)Over the years, the use of robotic searchers in times of disaster and dangerous incidents, such as toxic gas leakage, has become of higher significance. Using robot searchers instead of humans or animals in such dangerous ... -
Enhancing Autonomous Robot Perception Via Slam Coupled With AI-Driven Selective Obstacle Object Detection
(2024 , Master Thesis)Autonomous mobile robots are changing various industries, making them more efficient and adaptable. They are used in critical sectors such as manufacturing, healthcare, logistics, and infrastructure to make operations ... -
Enhancing Fuzzy Rule-Based Anfis Neuronal Fuzzy Architecture Through Integration with Binary Particle Swarm Optimization Technique for Low-Dimensional Data Modeling
(2024 , Dissertation)Fuzzy rule-based systems are instrumental in data interpretation, especially in scenarios dominated by low-dimensional data. While deep learning has revolutionized areas like image and speech recognition, its effectiveness ... -
Domain Specific Transformers-Based Prioritization of Readmission for Patients in Healthcare
(2024 , Master Thesis)Hospital re-admissions are not only resource-intensive but also a key indicator of healthcare quality. Therefore, there is a critical need to enhance the efficiency of healthcare systems by accurately identifying patients ... -
Detecting Non-Technical Losses in Smart Grids Using Statistical Distances of Forecasting Residuals
(2024 , Master Thesis)Energy theft poses a significant challenge to the sustainability of smart grids, affecting the financial stability of electrical utilities and the overall management of resources. In this thesis, we present a novel load ... -
Mixed-Reality Surgical Simulator for Minimally Invasive Surgery
(2024 , Master Thesis)Modern medical practice relies on minimally invasive surgery (MIS), which has revolutionized surgery. Understanding complicated anatomical features and improving hand-eye coordination for instrument-tissue interactions ... -
IMPROVING INTERNET OF THINGS NETWORK STABILITY USING A HIERARCHICAL HYPERLEDGER FABRIC MODEL
(2023 , Master Thesis)Smart contracts in the blockchain have enabled the technology to find its way beyond the financial uses in which it originally operated. As such, it has quickly found its way into the Internet of Things (IoT) networks, ... -
LOCATION MENTION PREDICTION FROM DISASTER TWEETS
(2023 , Dissertation)While utilizing Twitter data for crisis management is of interest to different response authorities, a critical challenge that hinders the utilization of such data is the scarcity of automated tools that extract and resolve ... -
EXPERIMENTAL INVESTIGATION OF THE PERFORMANCE OF TRANSFORMER-BASED PREDICTION MODELS FOR REMAINING USEFUL LIFE
(2023 , Master Thesis)Remaining Useful Life (RUL) prediction is an essential task in predictive maintenance. This study aims to improve the performance of deep learning models for predicting the RUL of turbojet engines using the C-MAPSS dataset. ... -
USING EMBEDDED MACHINE LEARNING IN THE PHYSICAL WORLD TO DETECT TOXICITY IN SPOKEN LANGUAGE
(2023 , Master Thesis)Toxicity is a prevalent social behavior that involves the use of hate speech, offensive language, bullying, and abusive speech. While text-based approaches for toxicity detection are common, there is limited research on ...
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