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ADVANCED MACHINE LEARNING EMPOWERING MICROWAVE SENSORS WITH GENERATIVE/PREDICTIVE CAPABILITIES
DownloadFall 2023
This dissertation, addressing the critical shortage of microwave planar sensors, embarks on a journey to advance noncontact sensing applications, with a particular emphasis on the application of machine learning techniques to address existing problems. It pioneers the introduction of a unique...
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Spring 2020
Several Artificial Intelligence (AI) techniques such as machine learning, evolutionary computing, and Artificial Life (A-life) have been increasingly used to generate emergence of novel behaviours in multi-agent simulations (e.g., commercial games). However, automatically detecting emergent...
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Spring 2020
Machine learning (ML) has shown great potential to create tremendous value and growth to all sectors around the world, enhancing productivity, health, and longevity of humanity. ML differentiates itself from all previous methods through its adaptive and self-learning capabilities. In recent...