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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 ...