Browsing Computer Science & Engineering by Type "Master Thesis"
Now showing items 41-60 of 79
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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. ... -
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 ... -
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 ... -
Latent Semantic Indexing (LSI) Based Distributed System and Search On Encrypted Data
(2018 , Master Thesis)Latent semantic indexing (LSI) was initially introduced to overcome the issues of synonymy and polysemy of the traditional vector space model (VSM). LSI, however, has challenges of its own, mainly scalability. Despite being ... -
MINIMIZING NUMBER OF SENSORS IN WIRELESS SENSOR NETWORKS FOR STRUCTURE HEALTH MONITORING SYSTEMS
(2016 , Master Thesis)Nowadays, wireless sensor networks (WSNs) are considered an essential candidate to apply structural health monitoring (SHM). An important problem in this area is sensor placement optimization. In many research works, ... -
Mixed-Reality Surgical Simulator for Minimally Invasive Surgery
(2024 , Master Thesis)Modern medical practice relies on minimally invasive surgery (MIS), which has revolutionized surgery. Understanding complicated anatomical features and improving hand-eye coordination for instrument-tissue interactions ... -
MOBILE APP FOR HIDDEN DATA ANALYTICS OF ONLINE MARKETPLACE SYSTEMS
(2016 , Master Thesis)In this project, an extensive analysis and evaluation of the existing e-marketplaces is performed. The aim of this analysis is to improve the experience of end-users through an Android application that is capable of ... -
Modeling and Simulation of Bio-pathways using Hybrid Functional Petri Nets
(2017 , Master Thesis)The study of biological systems is growing rapidly, and can be considered as an intrinsic task in biological research and a prerequisite for diagnosing diseases and drug development. The integration of biological studies ... -
Modeling Family Behaviors in Crowd Simulation
(2017 , Master Thesis)Modeling human behavior for a general situation is difficult, if not impossible. Crowd simulation represents one of the approaches most commonly used to model such behavior. It is mainly concerned with modeling the different ... -
MULTI-ZONAL VEHICLE SURVEILLANCE SYSTEM ENABLED BY A PRIVATE PERMISSIONED BLOCKCHAIN
(2023 , Master Thesis)Privacy, security, accessibility, and reliability are the most essential characteristics of a public security system. Existing surveillance systems provide monitoring and surveillance-based security. However, their inference ... -
Multimodal Intrusion Detection System for Cyber Physical Systems
(2021 , Master Thesis)Cyber-Physical Systems (CPS) are deployed to control critical infrastructure in many fields, including industry and manufacturing. In recent years, CPS have been affected by cyberattacks due to the increased connectivity ... -
Neuropathy Classification of Corneal Nerve Images Using Artificial Intelligence
(2019 , Master Thesis)Nerve variations in the human cornea have been associated with alterations in the neuropathy state of a patient suffering from chronic diseases. For some diseases, such as diabetes, detection of neuropathy prior to ... -
Novel Techniques for Blockchain-enabled IoT Systems Leveraging Reinforcement Learning
(2020 , Master Thesis)In the last decade, blockchain and Smart Contracts (SCs) have attracted unprecedented attention in academia and industry due to their technical innovation of providing an immutable distributed ledger with secure cryptographic ... -
ON RELEVANCE FILTERING FOR REAL-TIME TWEET SUMMARIZATION
(2018 , Master Thesis)Real-time tweet summarization systems (RTS) require mechanisms for capturing relevant tweets, identifying novel tweets, and capturing timely tweets. In this thesis, we tackle the RTS problem with a main focus on the relevance ... -
Optimal Resource Allocation Using Deep Learning-Based Adaptive Compression For Mhealth Applications
(2018 , Master Thesis)In the last few years the number of patients with chronic diseases that require constant monitoring increases rapidly; which motivates the researchers to develop scalable remote health applications. Nevertheless, transmitting ...