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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 ...
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 ...