Browsing College of Engineering by Title
Now showing items 84-103 of 469
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Corrosion Detection Using Transfer Learning-Based Modeling for Image Classification
(2019 , Master Thesis)This study uses image classification-based transfer learning to train models on the task of corrosion-detection on metallic surfaces. This is done by photographing images of samples of aluminium, iron and steel before and ... -
Cost Based of Value Stream Mapping as a Lean Construction Tool for Underground Pipeline Construction Projects
(2018 , Master Thesis)Contractors want to improve the construction productivity and utilize an efficient, cost calculation which assists the company to get accurate cost that can be presented during next estimation for similar construction ... -
Coupled CFD-DEM Parallel Model to Describe Fines Migration Behavior at the Pore-Scale
(2021 , Master Thesis)Transport of fine particles in porous media has attracted considerable interest over the past few decades. In various fields of science and engineering, on-site remediation strategies, enhanced transport of contaminants ... -
CRASHWORTHINESS CHARACTERISTICS OF GFRP OVERWRAPPED PVC COMPOSITE TUBES
(2021 , Master Thesis)This thesis investigates the effect of various factors on the crashworthiness characteristics of GFRP overwrapped PVC tubes. PVC tubes overwrapped in GFRP at four different fiber orientations, 45°, 55°, 65°, and 90°, ... -
CRITICAL ASSESSMENT OF CHANGE ORDER MANAGEMENT PERFORMANCE IN CONSTRUCTION PROJECT MANAGEMENT
(2023 , Dissertation)Change order management is a major challenge in the construction business due to the associated disputes, claims, productivity losses, delays, and cost implications. In order to assure the success of building projects, ... -
Critical Assessment of Post-Award Contract Administration Performance in Construction Projects
(2020 , Dissertation)While proper construction contract administration (CCA) is a core competency and a principal success factor for projects, the process is inevitably complex and improper performance of the associated tasks and processes ... -
Crossflow Microfiltration of Tight Emulsions and Suspended Colloids by Ceramic Membranes
(2018 , Master Thesis)Produced water is known as the largest waste stream associated with the oil and gas extraction process from onshore and offshore fields; that is found in the form of either oil in water (o/w) or water in oil (o/w) emulsion. ... -
Cyber Attack Detection in Nonlinear Binary Distillation Column
(2020 , Master Thesis)This thesis focuses on addressing the issue of cyber security for Industrial Control Systems (ICS). Evolution in computing and internet technology has encouraged increasing number of Industrial Control Systems (ICS) ... -
CYBER-ATTACKS AGAINST VOLTAGE PROFILE IN SMART DISTRIBUTION GRIDS WITH HIGHLY-DISPERSED PV GENERATORS: DETECTION AND PROTECTION
(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 ... -
CYBERSECURITY ENABLED PROTECTION AND OPTIMIZATION OF ACTIVE DISTRIBUTION NETWORKS IN SMART GRIDS
(2023 , Dissertation)The electrical grid is evolving into smart grid with the integration of renewables and the evolution of advanced information and communication technology (ICT). This enables remote monitoring and control for operators in ... -
DATA VISUALIZATION FOR SUPPORTING INFORMED DECISION MAKING FOR SUSTAINABLE ALTERNATIVE FUEL BUS TECHNOLOGIES
(06-2 , Master Thesis)Compared to other transportation approaches, public transportation produces the most greenhouse gas emissions. There is a pressing need to comply with national guidelines outlined in Qatar's National Development Strategy ... -
DATA-DRIVEN OCCUPANCY DETECTION BY EMPLOYING DEEP AND TRANSFER LEARNING APPROACHES
(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 ... -
DDI: Drones Detection and Identification using Deep Learning Techniques
(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 ... -
DDoS: DeepDefence and Machine Learning for identifying attacks
(2020 , Master Thesis)Distributed Denial of Service (DDoS) attacks are very common type of computer attack in the world of internet today. Automatically detecting such type of DDoS attack packets & dropping them before passing through the ... -
DEA-Based electric vehicles efficiency assessment: the case of the European Union countries using mixed and solar sources of energy
(2021 , Master Thesis)Adopting electric vehicles (EVs) is represented as a promising solution to have more efficient and sustainable transport systems, European Union (EU) members show a significant interest in adopting EVs, and the governments ... -
Deanonymizing tor hidden service users through bitcoin transactions analysis
(2017 , Master Thesis)With the rapid increase of threats on the Internet, people are continuously seeking privacy and anonymity. Services such as Bitcoin and Tor were introduced to provide anonymity for online transactions and Web browsing. Due ... -
Deep ConvNets for COVID-19 Recognition from Chest X-Rays
(2021 , Master Thesis)Coronavirus disease 2019 (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS)-CoV and Middle East Respiratory Syndrome (MERS)-CoV, which outbreak in ... -
DEEP EUTECTIC SOLVENT FOR CO2 CAPTURE: CHOLINIUM CHLORIDE WITH PHENYLACETIC ACID SYSTEM
(2017 , Master Thesis)Global warming is one of the most pressing challenges that face societies these days. As result, worldwide public attention has risen due to the serious greenhouse gas effect, which causes detrimental environmental effects ... -
Deep Learning Based Approach For Prediction Of Cloud Resource Needs
(2018 , Professional Masters Project)Cloud computing allows scaling applications to serve dynamic and time-varying workloads and to avoid application performance degradation, while keeping low provisioning costs. But, resource demand of applications need to ... -
A Deep Learning Based Approach To Detect Covert Channels Attacks and Anomaly In New Generation Internet Protocol IPv6
(2020 , Master Thesis)The increased dependence of internet-based technologies in all facets of life challenges the government and policymakers with the need for effective shield mechanism against passive and active violations. Following up ...