Browsing College of Engineering by Title
Now showing items 100-119 of 505
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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 DECISION INTELLIGENCE MODEL TO SUPPORT VALUE-ORIENTED MANAGEMENT IN THE GOVERNMENT INSTITUTES
(2024 , Dissertation)This dissertation focuses on devising a framework to prepare government institutions for implementing Artificial Intelligence towards value-oriented management. It explores the factors influencing AI readiness in government ... -
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 ... -
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 ... -
DEEP LEARNING TECHNIQUES FOR KIDNEY DISEASE DETECTION
(2023 , Master Thesis)Around 10% of the world's population gets affected by Chronic Kidney Diseases or CKDs at some point in their lives and millions die each year due to not having access to affordable treatments and clinical facilities. During ... -
Deep Reinforcement Learning for Efficient Uplink NOMA SWIPT Transmissions
(2021 , Master Thesis)A key rival technology in radio access strategies for next generation cellular communications is non-orthogonal multiple access (NOMA) due to its enhanced performance compared to existing multiple access techniques such ... -
Density Functional Theory Study of Dry Reforming of Methane
(2018 , Master Thesis)the recent years, the global warming effects are being catastrophic and they start hitting new areas. These effects have a direct relation with the amount of greenhouse gases emitted into the atmosphere. CO2 and other ... -
DESIGN AND FABRICATION OF A PARAMETRIC 3D-PRINTED PASSIVE PROSTHETIC HAND BASED ON ANTHROPOMETRIC FEATURES
(2021 , Master Thesis)People with upper-limb reductions or amputations need prosthetic replacements throughout their lives as they grow and change. The standard method of prosthetic development takes a lot of time for fabrication by technicians ... -
Design And Process Economics Of A Monoethylene Glycol (Meg) Recovery System From Produced Water
(2019 , Master Thesis)Monoethylene glycol (MEG) is a widely used hydrate inhibitor in the oil and gas industry to reduce the risk of hydrate formation in pipelines that could cause a blockage. Large volumes of MEG are used annually as an effective ... -
Design of a Simulator for Neonatal Multichannel EEG: Application to Time-Frequency Approaches for Automatic Artifact Removal and Seizure Detection
(2016 , Master Thesis)The electroencephalogram (EEG) is used to noninvasively monitor brain activities; it is the most utilized tool to detect abnormalities such as seizures. In recent studies, detection of neonatal EEG seizures has been ... -
Design of an Efficient Heuristic Algorithm for Dense Heterogeneous Networks with Multi-Hop Backhauling
(2021 , Master Thesis)5G networking is considered a promising technology which offers a variety of advantages over the previous networks generations such as higher peak data rate, higher density of connections (ultra-dense networks) and latency. ... -
Design of Embedded 3D Printed Sensors on a Robot for Monitoring and Capturing Atmospheric Carbon Dioxide
(2021 , Master Thesis)Gas detection is a critical task in dangerous environments that involve hazardous or contaminant gases. Quick detection of gas leaks and their rectification ensure the protection of lives and safeguards equipment installed ...