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Novel Techniques for Blockchain-enabled IoT Systems Leveraging Reinforcement Learning
(Computing, 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 ...
Rail Robot for Rail Track Inspection
(Computing, 2020 , Master Thesis)
Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, but also expensive. In addition, the accuracy of defect ...
Modeling Family Behaviors in Crowd Simulation
(Computing, 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 ...
ICT INDUSTRY INTEGRATED CURRICULA: TOWARDS AN ONTOLOGY BASED COMPETENCY MODEL
(Computing, 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 ...
Modeling and Simulation of Bio-pathways using Hybrid Functional Petri Nets
(Computing, 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 ...
MINIMIZING NUMBER OF SENSORS IN WIRELESS SENSOR NETWORKS FOR STRUCTURE HEALTH MONITORING SYSTEMS
(Computing, 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, ...
Diabetic Reinopathy Classification using Deep Learning
(Computing, 2020 , Master Thesis)
With diabetes growing at an alarming rate, changes in the retina of diabetic patients causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best ...
A COMPREHENSIVE FRAMEWORK FOR DESIGN AND EVALUATION OF M-LEARNING APPLICATIONS
(Computing, 2016 , Master Thesis)
Human-computer interaction (HCI) communities and Mobile Learning Communities (MLCs) are well aware of the challenges that mobile devices impose when it comes to conducting proper usability and user experience evaluations ...
Conceptual Based Hidden Data Analytics and Reduction Method for System Interface Enhancement Through Handheld devices
(Computing, 2016 , Master Thesis)
With the increasing demand placed on online systems by users, many organizations and companies are seeking to enhance their online interfaces to facilitate the search process on their hidden databases. Usually, users issue ...
Detecting market manipulation in stock market data
(Computing, 2017 , Master Thesis)
Anomaly Detection is an extensively researched problem that has diverse applications in many domains. Anomaly detection is the process of finding data points or patterns that do not conform to expected behavior within a ...