Computing
Recent Submissions
-
AUTOMATED DETECTION AND ASSESSMENT OF DEVELOPMENTAL DYSGRAPHIA: ADVANCED MACHINE LEARNING FRAMEWORKS AND MULTIMODAL ANALYSIS
(2025 , Dissertation)Dysgraphia, a learning disability affecting handwriting, presents significant challenges in diagnosis due to its complex interplay of cognitive, motor, and perceptual impairments. Existing automated approaches predominantly ... -
DYNAMIC ALGORITHM FOR TIP SELECTION IN MULTI-AGENT BLOCKCHAIN ENVIRONMENTS: OPTIMIZATION AND ANALYSIS
(2025 , Dissertation)The rise of decentralized technologies has brought forward novel challenges in maintaining fairness, efficiency, and scalability in distributed ledger protocols. The Internet of Things Applications (IOTA), a Directed Acyclic ... -
OPTIMIZED RESOURCE ALLOCATION AND SECURITY ENHANCEMENT IN DRONE-ASSISTED NETWORKS
(2025 , Master Thesis)The rapid evolution of Open Radio Access Networks (O-RAN) has introduced a transformative architecture that promotes openness, flexibility, and cost efficiency in modern telecommunications. However, the open and multi-vendor ... -
AI-POWERED DIGITAL BEAMFORMING FOR 6G COMMUNICATIONS: TOWARDS GENERALIZED ADAPTIVE BEAM SELECTION
(2025 , Master Thesis)The evolution of wireless communication networks toward sixth-generation (6G) systems presents significant challenges in achieving efficient and adaptive beamforming, particularly in millimeter-wave (mmWave) and sub-terahertz ... -
RELEVANCE SCORING OF ARABIC AND ENGLISH WRITTEN ESSAYS WITH DENSE RETRIEVAL
(2025 , Master Thesis)Automated Essay Scoring automates the grading process of essays, providing a great advantage for improving the writing proficiency of students. While holistic essay scoring research is prevalent, a noticeable gap exists ... -
FINE-GRAINED TAINT TRACING IN CRYPTOCURRENCIES: A SUB-RANGE-BASED UTXO MODEL WITH VERKLE TREE PROOFS
(2025 , Dissertation)Cryptocurrency taint analysis is critical for tracking illicit funds, but existing methods either over-taint legitimate coins or struggle with scalability. This thesis proposes a finegrained taint tracing model for UTXOs ... -
AUTOMATING INFORMATION EXTRACTION FROM PEROVSKITE SOLAR CELLS LITERATURE USING LARGE LANGUAGE MODELS
(2025 , Master Thesis)With the rapid advancement of perovskite solar cells (PSCs) research, efficiently extracting structured data from scientific literature has become essential for accelerating materials discovery and development. PSCs studies ... -
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 ...
RSS 1.0