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Full-Text Articles in Physical Sciences and Mathematics
The Future Of Artificial Intelligence In The Healthcare Industry, Erika Bonnist
The Future Of Artificial Intelligence In The Healthcare Industry, Erika Bonnist
Honors Theses
Technology has played an immense role in the evolution of healthcare delivery for the United States and on an international scale. Today, perhaps no innovation offers more potential than artificial intelligence. Utilizing machine intelligence as opposed to human intelligence for the purposes of planning, offering solutions, and providing insights, AI has the ability to alter traditional dynamics between doctors, patients, and administrators; this reality is now producing both elation at artificial intelligence's medical promise and uncertainty regarding its capacity in current systems. Nevertheless, current trends reveal that interest in AI among healthcare stakeholders is continuously increasing, and with the current …
Convolutional Audio Source Separation Applied To Drum Signal Separation, Marius Orehovschi
Convolutional Audio Source Separation Applied To Drum Signal Separation, Marius Orehovschi
Honors Theses
This study examined the task of drum signal separation from full music mixes via both classical methods (Independent Component Analysis) and a combination of Time-Frequency Binary Masking and Convolutional Neural Networks. The results indicate that classical methods relying on predefined computations do not achieve any meaningful results, while convolutional neural networks can achieve imperfect but musically useful results. Furthermore, neural network performance can be improved by data augmentation via transposition – a technique that can only be applied in the context of drum signal separation.