Browsing Computing by Type "Dissertation"
Now showing items 1-15 of 15
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ARABIC QUESTION ANSWERING ON THE HOLY QUR'AN
(2023 , Dissertation)In this dissertation,we address the need for an intelligent machine reading at scale (MRS) Question Answering (QA) system on the Holy Qur'an, given the permanent interest of inquisitors and knowledge seekers in this sacred ... -
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 ... -
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 ... -
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 ... -
ENABLING EFFECTIVE ARABIC INFORMATION RETRIEVAL ON THE WEB AND SOCIAL MEDIA
(2022 , Dissertation)Arabic is one of the most dominant languages on the Web and social media. The huge and ever-growing Arabic user generated content, further motivated by the ongoing political unrest in the region, created an immense need ... -
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 ... -
ENHANCING THE PERFORMANCE AND SECURITY OF ANONYMOUS COMMUNICATION NETWORKS
(2022 , Dissertation)With the increasing importance of the Internet in our daily lives, the private information of millions of users is prone to more security risks. Users data are collected either for commercial purposes and sold by service ... -
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 ... -
HANDWRITING RECOGNITION IN ARABIC HISTORICAL MANUSCRIPTS
(2022 , Dissertation)Document Analysis and Recognition significantly impact humanitarian studies by revealing information hidden in historical document collections worldwide. This research area merges the sciences of computer vision and machine ... -
INTERPRETABLE DEEP LEARNING MODELS FOR PREDICTION OF CLINICAL OUTCOMES FROM ELECTRONIC HEALTH RECORDS
(2022 , Dissertation)The rapid adoption of electronic health records (EHRs) has generated tremendous amounts of valuable clinical data on complex diseases and health trajectories. Yet, achieving successful secondary use of this EHR data for ... -
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 ... -
An Ontology based Text-to-Picture Multimedia m-Learning System
(2018 , Dissertation)Multimedia Text-to-Picture is the process of building mental representation from words associated with images. From the research aspect, multimedia instructional message items are illustrations of material using words and ... -
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, ... -
PRIVACY-PRESERVING DECENTRALIZED INTRUSION DETECTION SYSTEM FOR IOT DEVICES USING DEEP LEARNING
(2022 , Dissertation)The convergence of advanced networking, breakthrough distributed systems technologies, and smart services has rapidly expanded the threat landscape for IoT devices. Researchers have been looking into lightweight and ... -
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 ...
