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DDI: Drones Detection and Identification using Deep Learning Techniques
(Computing, 2021 , Master Thesis)
Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. Besides their useful applications, an alarming concern ...
Inhibition of Inorganic Oilfield Scales: Theoretical Investigation
(Environmental Engineering, 2021 , Master Thesis)
Scale deposition is a critical issue in the oil and gas exploration and production processes causing significant blocking in the tubing and consequently flow assurance and economic losses. Most studies addressing the scale ...
CYBER-ATTACKS AGAINST VOLTAGE PROFILE IN SMART DISTRIBUTION GRIDS WITH HIGHLY-DISPERSED PV GENERATORS: DETECTION AND PROTECTION
(Electrical Engineering, 2021 , Master Thesis)
In this work, we study the effect of cyber-attacks on voltage regulation in smart grids with highly dispersed photovoltaic (PV) power generators. We picture how the cyber-attacks in the distribution network with the existence ...
Fabrication of Fouling Resistant Ti3C2Tx(MXene) Cellulose Acetate Nanocomposite Membrane for Forward Osmosis Application
(Civil Engineering, 2020 , Master Thesis)
Forward Osmosis (FO) is one of the promising technologies that can be used to combat growing water scarcity. However, FO membrane fouling hinders the widespread application of this technology by significantly reducing the ...
Fault Detection And Localization In Modular Multilevel Converter
(Electrical Engineering, 2018 , Master Thesis)
The Modular Multilevel Converter is gaining wide acceptance in both industrial and research communities for medium and high power applications. However, the increasing need for a higher number of active power switches ...
Cancer Detection and Identification on Scarce and Low- Resolution Data
(Electrical Engineering, 2018 , Master Thesis)
Machine learning algorithms have been contributing immensely in the biomedical sector with the innovation of several automatic and semi-automatic diagnostic devices. They are well suited for applications such as the diagnosis ...
Illuminant Estimation By Deep Learning
(Electrical Engineering, 2018 , Master Thesis)
Computational color constancy refers to the problem of estimating the color of the scene illumination in a color image, followed by color correction of the image through a white balancing process so that the colors of the ...
Thermodynamic Analysis of Full Scale Baseload LNG Chain
(Environmental Engineering, 2019 , Master Thesis)
The world’s growing energy demand and the need for low-carbon energy
sources are key factors that have made natural gas (NG) an attractive energy source
compared to other available fossil fuels (i.e. coal and oil). ...
Relating Representative Elementary Volume of Tortuosity to That of Porosity as Revealed from Computed Tomography Images
(Environmental Engineering, 2019 , Master Thesis)
Tortuosity and porosity are significant micro-scale parameters that have a major
impact on many environmental processes and engineering applications that are usually
implemented at a macroscopic scale. Thus, it is ...
Reduced Graphene Oxide Incorporated GELMA Hydrogel Promotes Angiogenesis for Wound Healing Applications
(Mechanical Engineering, 2019 , Master Thesis)
Non-healing or slow healing of chronic wounds is among the serious
complications of diabetes. The decrease in blood supply due to lack of angiogenesis
leads to reduced supply of oxygen, nutrients and growth factors ...