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Now showing items 31-40 of 40
APPLYING VARIOUS MACHINE LEARNING METHODOLOGIES INTO THE FINANCIAL MARKET
(Electrical Engineering, 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
(Electrical Engineering, 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, ...
HIGH-POWER ISOLATED MODULAR DC-DC CONVERTER SYSTEM FOR HEAVY-DUTY FUEL-CELL-BASED ELECTRIC VEHICLES
(Electrical Engineering, 2022 , Master Thesis)
Electric Vehicles (EVs) have attracted researchers' attention to further develop and enhance this strategic area. Compared with fuel-based vehicles, EVs are more demanded nowadays due to their high performance and new ...
MACHINE LEARNING TECHNIQUES FOR MOTOR GEAR FAULT DETECTION AND DIAGNOSIS
(Electrical Engineering, 2022 , Master Thesis)
Many industrial facilities, amongst others, are very sensitive to any sudden hazards that can be expensive and resource-costly; therefore, they should be monitored over the day. In this work, new Machine Learning (ML)-based ...
ENHANCEMENT OF THERMOELECTRIC PROPERTIES OF LOW-TOXIC AND EARTH-ABUNDANT CHALCOGENIDES
(Electrical Engineering, 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
(Electrical Engineering, 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 ...
DEVELOPMENT OF A TRANSFORMERLESS BIPOLAR PULSED-POWER OZONE GENERATOR BASED ON MODULAR BOOST CONVERTERS FOR AIR SANITIZATION
(Electrical Engineering, 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 ...
FPGA-BASED ENERGY-EFFICIENT HIGH-SPEED LDPC CHANNEL CODING SCHEME FOR CUBESAT
(Electrical Engineering, 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 ...
DEEP LEARNING TECHNIQUES FOR KIDNEY DISEASE DETECTION
(Electrical Engineering, 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 ...
DATA-DRIVEN OCCUPANCY DETECTION BY EMPLOYING DEEP AND TRANSFER LEARNING APPROACHES
(Electrical Engineering, 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 ...