Machine Learning In Electrical Engineering Project Topics With Abstracts and Base Papers 2024

by Himanshu Garg

Embark on a journey into the forefront of technological advancements within the realm of Electrical Engineering through a compilation of cutting-edge Machine Learning projects designed for the year 2024. These projects offer a glimpse into the future of technology, encompassing a diverse range of applications within Electrical Engineering. Each project is meticulously documented with a comprehensive base paper and abstract, providing in-depth insights into the theoretical foundations, methodologies, and potential real-world implications. These initiatives not only showcase the integration of Machine Learning techniques in solving complex problems within the field but also serve as a valuable resource for researchers, academics, and enthusiasts seeking to delve into the intricacies of modern Electrical Engineering innovations. From intelligent power systems to smart grid optimization, these projects exemplify the synergy between Machine Learning and Electrical Engineering, paving the way for transformative advancements in the coming years.

M.Tech Projects Topics List In Machine Learning Electrical Engineering.

Project TopicsBase PaperAbstract
1. Prediction of COVID-19 – Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine. Get HelpDownloadAbstract
2. Automatic Control Model of Power Information System Access Based on Artificial Intelligence Technology. HelpDownloadAbstract
3. Incorporating Power Electronic Converters Reliability Into Modern Power System Reliability Analysis. Get HelpDownloadAbstract
4. Power Density Optimization of 700 kHz GaN-Based Auxiliary Power Module for Electric Vehicles. Get HelpDownloadAbstract
5. Multi-Objective Design Optimization of an IPMSM Based on Multilevel Strategy. Get HelpDownloadAbstract
6. Novel Face Mask Detection Technique using Machine Learning to control COVID’19 pandemic. Get HelpDownloadAbstract
7. Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread. Get HelpDownloadAbstract
8. Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas. Get HelpDownloadAbstract
9. Design and Implementation of Node-Red Based Open-Source SCADA Architecture for a Hybrid Power System. Get HelpDownloadAbstract
10. Load frequency control of power system considering electric Vehicles’ aggregator with communication delay. Get HelpDownloadAbstract

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