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Now showing items 341-350 of 361
DATA-DRIVEN OCCUPANCY DETECTION BY EMPLOYING DEEP AND TRANSFER LEARNING APPROACHES
(Electrical Engineering, 2023 , Master Thesis)
Building occupancy information could aid energy preservation while maintaining the end-user comfort level. Energy conservation becomes essential since energy resources are scarce and human dependency on appliances is only ...
DEVELOPMENT OF FIBROUS DRILLING FLUIDS FOR HORIZONTAL WELL CLEANOUT: PARAMETIC INVESTIGATION
(Gas and Processing Engineering, 2024 , Master Thesis)
Drilling fluids enhance drilling efficiency by facilitating cutting transportation, maintaining suspension, regulating pressure, and stabilizing rock formations. Fiber usage in drilling operations improves hole-cleaning ...
Pore Scale Examination Of The Impact Of Porous Media Morphology And Particle Hydrophobicity On Colloid Retention And Remobilization Behavior
(Civil Engineering, 2024 , Master Thesis)
The understanding of colloidal retention properties in multiphase systems is essential to a multitude of industries like oil extraction and groundwater recharge. A pore-scale understanding of the dynamics of colloid retention ...
Domain Specific Transformers-Based Prioritization of Readmission for Patients in Healthcare
(Computer Science & Engineering, 2024 , Master Thesis)
Hospital re-admissions are not only resource-intensive but also a key indicator
of healthcare quality. Therefore, there is a critical need to enhance the efficiency of
healthcare systems by accurately identifying patients ...
Design, Development, and Testing of Torque and Angle Measurement System for a Traction Machine
(Mechanical & Industrial Engineering, 2023 , Master Thesis)
This thesis presents the development of a traction measuring system designed to evaluate the interaction between shoes and playing surfaces to prevent lower extremity injuries. The interaction between shoes and playing ...
Evaluating the Short-Term Sustainability of Shared E-Scooters: A Usage-Centered Approach
(Engineering Management, 2023 , Master Thesis)
Recent years have seen a sharp rise in the use of shared electric scooters, which is indicative of a significant change in usage patterns. However, due to their emergence, their sustainability impacts are not well known. ...
Geological Characterization and Modelling of Gas Transport in Midra Shale
(Gas and Processing Engineering, 2024 , Master Thesis)
CO2 capture and sequestration are increasingly becoming more essential for a sustainable energy market. Fossil fuel industry requires CO2 sequestration, and it has the necessary means as well. Essential mechanisms such as ...
Repair and Rehabilitation of Damaged Reinforced Concrete Beams Using Sustainable Geopolymer Composites
(Civil Engineering, 2024 , Master Thesis)
Cement is one of the most used building materials worldwide. However, using cement affects the environment negatively by increasing CO2 emissions during its manufacturing process. In addition to that, concrete structures ...
Enhancing Autonomous Robot Perception Via Slam Coupled With AI-Driven Selective Obstacle Object Detection
(Computer Science & Engineering, 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 ...
Integrated Machine Learning Approaches for Comprehensive Bearing Health Monitoring and Fault Classification Using Multi-Sensory Data
(Mechanical Engineering, 2024 , Master Thesis)
Modern industries heavily rely on machines equipped with rolling-element (RE) bearings. However, these machines face substantial risks due to potential bearing faults, where even minor defects can lead to catastrophic ...