الهندسة الكهربائية
التسجيلات التي قمت بإرسالها
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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 ... -
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 ... -
ELECTRIC VEHICLE CHARGING STRATEGIES AND THEIR INTEGRATION IMPACT ON ACTIVE DISTRIBUTION NETWORK
(2025 , Dissertation)The increasing sales of Electric Vehicles (EVs) presents both opportunities and significant challenges for active distribution networks (ADN). Challenges include increased peak demand, voltage drop and power quality issues. ... -
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, ... -
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, ... -
MODELING AND STABILITY ANALYSIS OF A DC MICROGRID WITH MACHINE LEARNING TECHNIQUE
(2025 , Master Thesis)Stability is a critical aspect of any power system, including DC microgrids, as it prevents power quality issues, equipment damage, and system failures. The incorporation of multiple sources, such as Distributed Generation ... -
ENHANCING FAULT DETECTION AND LOCALIZATION IN TRANSMISSION LINES USING ARTIFICIAL NEURAL NETWORKS AND LEARNING ALGORITHMS: A COMPREHENSIVE ANALYSIS
(2025 , Master Thesis)Accurately detecting and pinpointing faults in power cable circuits presents a substantial challenge in ensuring the reliability and efficiency of electrical systems. The growing expansion of underground cable networks, ... -
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 ... -
MODEL PREDICTIVE CONTROL STRATEGY FOR LEAKAGE CURRENT REDUCTION IN PHOTOVOLTAIC SYSTEMS: A STUDY ON PUC AND CSC INVERTER TOPOLOGIES
(2024 , Master Thesis)Solar energy is one of the most commonly used sources of renewable energy. It is a clean and noiseless energy source that does not emit greenhouse gases. This thesis focuses on studying a double-stage transformerless ... -
ON APPLICATIONS OF MACHINE LEARNING IN IRS NOMA ARCHITECTURES FOR 5G AND BEYOND
(2024 , Dissertation)To foster the advancement of smart city components and the Internet of Things (IoT) applications, future wireless systems need to offer extensive system capacity, ultra-high data speeds, minimal latency, high dependability, ... -
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 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 ... -
FPGA-BASED ENERGY-EFFICIENT HIGH-SPEED LDPC CHANNEL CODING SCHEME FOR CUBESAT
(2023 , Master Thesis)With the rapidly increasing demand on reliable high-speed connectivity resulting from advancements in many technologies, constellations of CubeSats present a promising opportunity to meet these demands. However, establishing ... -
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 ... -
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 ... -
ENHANCEMENT OF THERMOELECTRIC PROPERTIES OF LOW-TOXIC AND EARTH-ABUNDANT CHALCOGENIDES
(2022 , Master Thesis)Thermoelectricity is a promising technology that directly converts heat energy into electricity and finds its use in enormous applications. This technology can be used for waste heat recovery from automobile exhausts and ... -
THE NEXT GENERATION ECMO CANNULATION TRAINING SYSTEM
(2022 , Master Thesis)Extracorporeal membrane oxygenation cannulation (ECMO) is a life-saving procedure that temporarily replaces the cardiopulmonary system. To enable the procedure, one must apply cannulation to reroute the blood to the ECMO ... -
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 ... -
DIAGNOSING LIVER'S LESIONS FOR MEDICAL ANALYSIS
(2022 , Master Thesis)Machine learning (ML) and computer vision techniques have grown rapidly due to their automation, suitability, and ability to generate astounding results, especially the convolutional neural network (ConvNet). In this thesis, ... -
MODELING, DESIGN, AND IMPLEMENTATION OF HIGH GAIN POWER ELECTRONIC DC-DC CONVERTERS FOR NANOGRID APPLICATIONS
(2022 , Dissertation)Nanogrids are nothing but power distribution systems that are based on renewable energy sources and are apt for low-power home applications. Nanogrids are considered to be the building cells of a Microgrid. Nanogrid is ...
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