Browsing Student Thesis & Dissertations by Title
Now showing items 212-231 of 1592
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CUSTOMER SATISFACTION WITH ONLINE FOOD ORDERING PORTALS IN QATAR
(2019 , Professional Masters Project)The recent boom in online food ordering and delivery in Qatar has led to increased competition among service providers within the industry. Identifying the lack of research in the context of Qatar’s online food industry, ... -
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 ... -
The Cytotoxicity Of “Al-Siddir” Tree “Ziziphus Spina Christi” Methanolic Leaves Extract on Her-2 Positive Breast Cancer
(2024 , Master Thesis)HER-2 positive is a subtype of breast cancer that acquires poor prognosis and low survival rates. Targeted therapy is one of the main approaches that are used for the treatment of HER-2-positive breast cancer. However, it ... -
DATA ANALYTICS IN EDUCATION: FACTORS AFFECTING THE UTILIZATION OF DATA ANALYTICS FOR EDUCATION IN QATAR
(2023 , Professional Masters Project)Data analytics in education is an emerging concept in the field of information technology. The purpose of this study is to examine the factors that affect professors' and lecturers' intention to use data analytics in the ... -
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 ... -
Date Pits Based Nanomaterials For Thermal Insulation Applications - Towards Energy Efficient Buildings In Qatar
(2019 , Professional Masters Project)Air-conditioning systems make the most significant part of energy consumption in the residential sector. There is no denying that it is essential to produce a comfortable indoor thermal environment for residents in a ... -
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 ... -
DE-ESSENTIALISING JAPAN-GCC STATES RELATIONS BEYOND THE HYDROCARBON TRADE: JAPAN'S COMPLEX INTERDEPENDENCE WITH OMAN
(2024 , Master Thesis)The international relations of the GCC states have strengthened and developed multifaceted ties with East Asian countries-including Japan-over the last two decades. While experts have studied these developing policy ... -
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 ... -
Decision-Maker’s Preferences Modelling through PROMETHEE Method for Supplier Selection
(2018 , Professional Masters Project)Multi-Criteria Decision Aid (MCDA) approach is widely applied in different decision-making contexts including supply chain management and supplier selection. PROMETHEE is one of the most popular MCDA method that allows ... -
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 ... -
Deep Learning IoT Malware Detection Model for IoMT Edge Devices
(2021 , Master Thesis)Internet of Things (IoT) is defined as the massive collection of physical devices being connected to the Internet. IoT has a positive impact in multiple fields, such as health, agriculture, and power management sectors by ...