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Music Visualization Using Source Separated Stereophonic Music, Hannah Eileen Chookaszian
Music Visualization Using Source Separated Stereophonic Music, Hannah Eileen Chookaszian
Master's Theses
This thesis introduces a music visualization system for stereophonic source separated music. Music visualization systems are a popular way to represent information from audio signals through computer graphics. Visualization can help people better understand music and its complex and interacting elements. This music visualization system extracts pitch, panning, and loudness features from source separated audio files to create the visual. Most state-of-the art visualization systems develop their visual representation of the music from either the fully mixed final song recording, where all of the instruments and vocals are combined into one file, or from the digital audio workstation (DAW) data …
Neural Network Based Diagnosis Of Breast Cancer Using The Breakhis Dataset, Ross E. Dalke
Neural Network Based Diagnosis Of Breast Cancer Using The Breakhis Dataset, Ross E. Dalke
Master's Theses
Breast cancer is the most common type of cancer in the world, and it is the second deadliest cancer for females. In the fight against breast cancer, early detection plays a large role in saving people’s lives. In this work, an image classifier is designed to diagnose breast tumors as benign or malignant. The classifier is designed with a neural network and trained on the BreakHis dataset. After creating the initial design, a variety of methods are used to try to improve the performance of the classifier. These methods include preprocessing, increasing the number of training epochs, changing network architecture, …