No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

Uber Technologies operates a global mobility and logistics platform The company connects riders, drivers, and delivery ecosystems worldwide Its scale reflects participation within the S&P 500 Index ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

Music therapy intern Sarah Moss (left) play “Winter Wonderland” with clients Nathan and Zain during a rock band music therapy session at Higher Octave Healing in Tempe on Tuesday, Nov. 25, 2025.

Dự án này tập trung vào bài toán phân loại thể loại nhạc (Music Genre Classification) dựa trên dữ liệu âm thanh. Mục tiêu là xây dựng và so sánh nhiều mô hình Machine Learning và Deep Learning nhằm ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...

A comprehensive PyTorch-based machine learning project for automatic music classification and tagging. This model can predict genre, mood, BPM, and musical key from audio features and spectrograms.

Bipolar disorder is a complex psychiatric condition characterized by alternating mood episodes, ranging from depression to mania. Accurate and timely detection of a patient’s current mood state is ...