Browsing Computer Science & Engineering by Title
Now showing items 53-72 of 100
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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 ... -
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 ... -
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 ... -
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-Connectivity Management and Orchestration Architecture Integrated With 5g Multi Radio Access Technology Network
(2020 , Professional Masters Project)The significant growth in the number of devices and the tremendous boost in network/user traffic types and volume as well as the efficiency constraints of 4G innovations have encouraged industry efforts and also financial ... -
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 ... -
A Nutrition Game-Based Technology Solution To Incite Children To Take Daily Breakfast From Healthy Food
(2018 , Professional Masters Project)Many children in Qatar are going daily to school without taking their breakfast. They buy, however, unhealthy food from their schools, nearby shops or restaurants, which results in many health problems, like obesity and ... -
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 ... -
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 ... -
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 ...