Masters Theses
Masters theses submitted by AUS graduate students.
Copyrights are held by AUS and the authors.
Recent Submissions
-
Optimal Assignment of Mobile Charging Stations for On-The-Move Electric Vehicles
(2023-04)lectric vehicles (EVs) are gaining increasing interest due to their zero emissions and relatively reduced running cost. However, the availability of charging energy is a main concern for many EV users. Therefore, a mobile ... -
Assessing the Relationship Between Motivation and Foreign Language Anxiety: The Role of Variance
(2023-11)The interaction between motivation and foreign language anxiety exhibits a complex nature in shaping learning experiences. The current study explores the varying levels of motivation and foreign language anxiety experienced ... -
Classical and Modified Fractional Differential Transform Methods: Applications to Health-related Problems, including covid-19 and Bromsulfthalein (BSP) Studies
(2023-11)The present thesis employs the Fractional Differential Transform Method (FDTM) to address two health-related problems. The FDTM was initially applied to the linear fractional human liver model, resulting in a semi-analytic ... -
Partition of Unity Finite Element Method for Solving Phase Change Problems
(2023-11)This thesis presents a comprehensive study of the Partition of Unity Finite Element Method (PUFEM) and its applications in solving phase change problems. First, it introduces the Finite Element Method (FEM), the classical ... -
Neuro-Linguistic Programming in the ESL Classroom in the UAE
(2023-11)Neuro-Linguistic Programming (NLP) is a practical approach to language learning and teaching that focuses on understanding the thought and behavior patterns underlying communication and skill acquisition (Day, 2008). Despite ... -
Evaluating the factors affecting microplastic removal from synthetic leachate via electrocoagulation
(2023-11)The ubiquitous presence of microplastics in the environment has raised concerns over their impact on human, environmental and ecological health. Landfill leachate, which is the highly toxic wastewater produced in landfills, ... -
A Formal Assisted Approach for Modeling and Testing Security Attacks in IoT Edge Devices
(2023-11)With the rapid growth in the number of IoT devices being added to the network, a major concern that arises is the security of these systems. As these devices are resource constrained, safety measures are difficult to ... -
Nitinol Stents: A Finite Element Analysis of their Interaction with the Wall of Blood Vessels
(2023-12)The recent decades have seen huge improvements in stent implantation in arteries affected by atherosclerosis. The latter entails the partial blocking or complete occlusion of the lumen. Self-expandable stents are being ... -
Sustainability Evaluation of 3D Concrete Printing in the U.A.E. Construction Projects
(2023-11)3D printing has revolutionized various industries and is gaining prominence in construction for its potential to enhance sustainability. The United Arab Emirates (UAE) has embraced 3D Concrete Printing (3DCP) in residential ... -
Cost Evaluation of 3D Concrete Printing in the UAE Construction Industry
(2023-11)The integration of 3D Concrete Printing (3DCP) in the construction sector is rapidly expanding, poised to revolutionize conventional processes and usher in disruptive technologies. Globally, the construction industry is ... -
Maintenance Decisions for Medical Equipment in UAE Medical Facilities
(2023-11)Medical devices are crucial in the process of preventing, monitoring, diagnosing and treatment of diseases. Healthcare services greatly rely on medical equipment to properly deliver their desired services. Hence, the proper ... -
Artificial Intelligence to Enhance the Drilling of Composites
(2023-12)Advances in the study of fibre reinforced polymers have led to a huge interest in applying them to multiple fields as an alternative to more costly materials such as their metallic counterparts. However, if the machining ... -
Image-CNN Based Process Control of Profile
(2023-12)For quality inspection purpose, control charts have been widely adopted successfully in manufacturing industry throughout the years. Smart Manufacturing (SM) has emerged as a key concept for articulating the ultimate goal ... -
Machine Learning Model for a Sustainable Drilling Process
(2023-11)Drilling process is one of the most performed machining processes. Across many industries, drilling process directly influences the product quality as it is usually used in the final production steps before assembly. ... -
Forecasting Emerging Stock Market Crashes via Machine Learning
(2023-11)Stock markets indicate the overall health of an economy as they play a vital role in providing a way for companies to raise capital, create new opportunities and stimulate economic growth. However, stock markets are prone ...