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Detecting Non-Technical Losses in Smart Grids Using Statistical Distances of Forecasting Residuals
(Computer Science & Engineering, 2024 , Master Thesis)
Energy theft poses a significant challenge to the sustainability of smart grids, affecting the financial stability of electrical utilities and the overall management of resources. In this thesis, we present a novel load ...
Enhancing Knowledge Distillation for Text Summarization
(Computer Science & Engineering, 2024 , Master Thesis)
In the realm of natural language processing, recent advancements have been significantly
shaped by the development of large pretrained Seq2Seq Transformer models,
including BART, PEGASUS, and T5. These models have ...
Surface-Modified Magnetic Nanoparticles for Produced Water Purification
(2024 , Master Thesis)
The oil and gas sector generate large amounts of produced water (PW) that contains various organic and inorganic contaminants (e.g. heavy metals, organic materials, inorganic compounds and phenols). PW discharge puts the ...
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 ...
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 ...