Browsing Computer Science & Engineering by Title
Now showing items 37-56 of 100
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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 ... -
Equipment Criticality Classification Using Analytical Hierarchy Method
(2018 , Master Thesis)The overall aim of this project is to use the analytical hierarchy process as new method in the equipment criticality process. The equipment criticality in the industrial sector is very essential part in the prioritizing ... -
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 ... -
INTERPRETABLE DEEP LEARNING MODELS FOR PREDICTION OF CLINICAL OUTCOMES FROM ELECTRONIC HEALTH RECORDS
(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 ... -
INTRUSION RESPONSE FOR CYBER-PHYSICAL SYSTEMS: A MODEL-FREE DEEP REINFORCEMENT LEARNING APPROACH
(06-2 , Master Thesis)Cyberattacks on Cyber-Physical Systems (CPSs) are on the rise due to CPS increased networked connectivity, which may cause costly environmental hazards as well as human and financial loss. Although the connectivity of CPSs ... -
IOTA Viability In Healthcare Industry
(2019 , Master Thesis)The Internet of Things is a novel paradigm which involves the increasing prevalence of objects and entities supported with identifiers and the ability to exchange the data over a network. However, with all these advantages ...