Browsing Electrical Engineering by Language "en"
Now showing items 1-20 of 61
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A NEURAL KOOPMAN FRAMEWORK FOR CUBESAT ATTITUDE CONTROL USING QUATERNION REPRESENTATION
(2025 , Master Thesis)CubeSats have gained significant attention due to their lowcost and versatile applications. However, their low inertia makes them highly susceptible to disturbances, such as magnetic torques and residual atmospheric drag, ... -
Advanced DSP Algorithms For Modern Wireless Communication Transceivers
(2019 , Dissertation)A higher network throughput, a minimized delay and reliable communications are some of many goals that wireless communication standards, such as the fifthgeneration (5G) standard and beyond, intend to guarantee for its ... -
ADVANCING FORENSIC AGE ESTIMATION: INTEGRATING CBCT IMAGING WITH MACHINE LEARNING AND DEEP LEARNING APPROACHES
(2025 , Master Thesis)Dental age estimation plays a vital role in forensic odontology, contributing to legal, clinical, and identification processes. While previous studies predominantly focused on maxillary teeth, mandibular teeth, known for ... -
AN EDGE-AI PLATFORM FOR ENHANCED DECISION-MAKING IN AGRI-FOOD SUPPLY CHAINS: A PATHWAY TO INDUSTRY 5.0
(2025 , Master Thesis)Against the backdrop of the growing link between food waste and climate change, the European Commission (EC) introduced the Industry 5.0 model, aiming to meet the Sustainable Development Goals (SDGs) by promoting sustainable, ... -
APPLYING VARIOUS MACHINE LEARNING METHODOLOGIES INTO THE FINANCIAL MARKET
(2022 , Master Thesis)The modernization of the financial market, with the introduction of the internet, made it easier for the average, everyday people, around the world to invest in the plentiful trading assets in the market. This created a ... -
Automatic Voltage Regulation for Substation in Smart Grid
(2016 , Master Thesis)The recent developments of smart grids and their Advanced Metering Infrastructures have brought new possibilities of enhancing the system performance and quality of power delivery to diverse consumers. For instance, with ... -
Cancer Detection and Identification on Scarce and Low- Resolution Data
(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 ... -
CIRCULATING CURRENT MITIGATION AMONG SOURCES IN DC MICROGRID USING DISTRIBUTED SECONDARY CONTROLLERS
(2025 , Master Thesis)In the islanded mode of operation of a DC microgrid, the main objective is to achieve proportional sharing of load power among sources and to maintain the source voltage within the specified limit. The droop control technique ... -
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-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 ... -
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 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 ... -
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 High-Gain DC-DC Converters for High-Power PV Applications
(2016 , Master Thesis)Renewable energy sources are penetrating the market in an ever increasing rate, especially in terms of Wind and Solar energies, with the latter being more suitable for the GCC region. Typically, Photovoltaic (PV) strings’ ... -
DESIGN OF PMU BASED REAL TIME FUZZY LOGIC SVC DAMPING CONTROLLER TO ENHANCE INTER- AREA OSCILLATION DAMPING
(2016 , Master Thesis)Inter-area oscillation has been identified as a significant problem in the utility systems due to the damages that it may cause as well as the limitation introduced to power transfer capability. A contemporary solution to ... -
DESIGN OF REAL-TIME FUZZY LOGIC PSS BASED ON PMUs FOR DAMPING LOW FREQUENCY OSCILLATIONS
(2016 , Master Thesis)Poorly damped low frequency oscillations is one of the main problems threatening safe and stable operation of the interconnected power systems and reducing the capability of transmission the power. The generator's excitation ... -
DETECTION OF MYOCARDIAL INFARCTION USING DEEP LEARNING TECHNIQUES
(2025 , Master Thesis)Myocardial Infarction (MI) is a serious heart condition that occurs when blood flow to a portion of the heart is blocked long enough to cause damage or potentially fatal injury to the heart muscle. It demands prompt and ... -
DEVELOPMENT OF A TRANSFORMERLESS BIPOLAR PULSED-POWER OZONE GENERATOR BASED ON MODULAR BOOST CONVERTERS FOR AIR SANITIZATION
(2023 , Master Thesis)Ozone has become the oxidizing agent of choice used in several applications. Recently, ozone generation has attracted researchers' attention to achieve further development in this field. Some of the crucial applications ...
