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An Ontology based Text-to-Picture Multimedia m-Learning System
(Computer Science, 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 ...
PRIVACY-PRESERVING DECENTRALIZED INTRUSION DETECTION SYSTEM FOR IOT DEVICES USING DEEP LEARNING
(Computer Science, 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 ...
ENHANCING THE PERFORMANCE AND SECURITY OF ANONYMOUS COMMUNICATION NETWORKS
(Computer Science, 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 ...
INTERPRETABLE DEEP LEARNING MODELS FOR PREDICTION OF CLINICAL OUTCOMES FROM ELECTRONIC HEALTH RECORDS
(Computing, 06-2 , 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 ...
HANDWRITING RECOGNITION IN ARABIC HISTORICAL MANUSCRIPTS
(Computing, 06-2 , 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Document Analysis and Recognition significantly impact humanitarian studies by revealing information hidden in historical document collections worldwide.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 ...
ENABLING EFFECTIVE ARABIC INFORMATION RETRIEVAL ON THE WEB AND SOCIAL MEDIA
(Computing, 06-2 , 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 ...
ARABIC QUESTION ANSWERING ON THE HOLY QUR'AN
(Computer Science, 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 ...
LOCATION MENTION PREDICTION FROM DISASTER TWEETS
(Computing, 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 ...
Enhancing Fuzzy Rule-Based Anfis Neuronal Fuzzy Architecture Through Integration with Binary Particle Swarm Optimization Technique for Low-Dimensional Data Modeling
(Computer Science & Engineering, 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 ...
Optimizing Cloud Virtual Machine Migration: Minimizing Downtime and Migration Time Using Machine Learning
(Computer Science & Engineering, 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, ...