The timely detection of Alzheimer's disease remains a significant challenge in the medical field, yet machine learning algorithms offer promising solutions. This study delves into the application of machine learning techniques, such as K-Nearest Neighbors (KNN) and Support Vector Machines (SVM), to discern Alzheimer's disease from MRI brain images. The findings demonstrate KNN's exceptional accura...Show More
Numerous approaches have been used by researchers for the purpose of music generation. Recurrent neural networks (RNNs) and Long short term memory (LSTM) networks are able to effectively model sequential data. LSTM networks have been extensively used to produce sheet music, character by character. These LSTM models, however, require a lot of time to train to be able to produce pleasant and syntact...Show More
