Browsing Computing by Title
Now showing items 34-53 of 100
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EFFICIENT SKYLINE SYSTEM DEVELOPMENT FOR NORMAL AND HIDDEN DATABASES: APPLICATION FOR GOOGLE FLIGHTS
(2018 , Professional Masters Project)Deep web databases provide strict search interface and limited web access with top-k results based on a pre-defined ranking function. However, top-k results may not be suitable for multi-criteria decision making because ... -
ENABLING EFFECTIVE ARABIC INFORMATION RETRIEVAL ON THE WEB AND SOCIAL MEDIA
(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 ... -
Encoder-decoder architecture for ultrasound IMC segmentation and CIMT prediction
(2021 , Master Thesis)Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, Common Carotid Artery (CCA) segmentation and Intima-Media Thickness (IMT) measurement have been significantly implemented ... -
ENERGY-EFFICIENT USER-EDGE ASSOCIATION AND RESOURCE ALLOCATION IN IOT-BASED HIERARCHICAL FEDERATED LEARNING
(06-2 , Master Thesis)The proliferation of data as part of the Internet of Things (IoT) systems needs to be efficiently utilized while respecting data privacy and scalability. Edge computing is an emerging paradigm that mandates efficient ... -
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 ... -
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 ... -
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 ... -
Ensuring Quality of Service in Blockchain-Based Healthcare System
(2020 , Master Thesis)Blockchain is a distributed secure ledger that eliminates the need for centralized authority to store data. It provides decentralized, secure and trustless framework that does not require a third party for transaction ... -
EVALUATION OF 2D AND 3D TECHNIQUES FOR SENTIMENT VISUALIZATION
(2018 , Master Thesis)With the rise of user generated content on the Internet, sentiment visualization is being highly researched and practiced. Advances in information visualization, such as the use of three-dimensional visualizations need to ... -
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. ... -
EXPLORING CONFIDENTIALITY AND PRIVACY OF IMAGE IN CLOUD COMPUTING
(2017 , Master Thesis)With the increasing popularity of cloud computing, clients are storing their data in cloud servers and are using “software as a service” for computing services. However, clients’ data may be sensitive, critical, and private, ... -
Features Ranking Techniques for Single Nucleotide Polymorphism Data
(2017 , Master Thesis)Identifying biomarkers like single nucleotide polymorphisms (SNPs) is an important topic in biomedical applications. Such SNPs can be associated with an individual’s metabolism of drugs, which make these SNPs targets for ... -
Free Chain: Enabling Freedom of Expression through Public Blockchains
(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 ... -
Generative Adversarial Networks Based Reconstruction and Restoration of Cultural Heritage
(2019 , Master Thesis)Cultural heritage takes an important part in defining the identity and the history of a civilization or a nation. Valuing and preserving this heritage is thus a top priority for governments and heritage institutions. ... -
HANDWRITING RECOGNITION IN ARABIC HISTORICAL MANUSCRIPTS
(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 ... -
ICT INDUSTRY INTEGRATED CURRICULA: TOWARDS AN ONTOLOGY BASED COMPETENCY MODEL
(2017 , Master Thesis)As technology advances rapidly, the ever changing industry needs for skills and competencies keeps changing in efforts to seize the nearest competitive advantage. This creates a great burden on higher education institutions ... -
Image Steganography Using Deep Learning Methods to Detect Covert Communication in Untrusted Channels
(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, ... -
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, ... -
INTELLIGENT AGENT-BASED 3D SIMULATION OF COVID-19 FOR ANALYSIS OF SOCIAL CONTROL MEASURES
(2022 , Master Thesis)The aim of this research is to model and simulate the recent and ongoing COVID-19 pandemic in terms of virus contagiousness among mixed groups of patients, carriers, and unaffected populations. The focus is on closed ...