Featured Application: This system has the potential to be used as a guidance for the lifting path of any type of crane and a tool to help in preventing...
Transitioning to sustainable energy systems is vital to combat ecological decline and ensure long-term environmental health. Solar power, with its abundant, clean potential, is key in replacing conventional energy....
This paper presents the development of an Arabic Sign Language ArSL translator application leveraging machine learning techniques. The motivation is to bridge the communication gap between the deaf community...
This paper presents predictive analytics for chronic kidney disease (CKD) based on clinical features using a powerful deep learning-based model. We tested performance of four existing best deep learning...
Comparing the Performance of a CDC Questionnaire with Machine Learning Models in Predicting Diabetes
This paper addresses the pressing issue of diabetes, a primary global health concern, by comparing machine learning models and a Centers for Disease Control and Prevention (CDC) questionnaire for...
Single ventricle (SV) anomalies account for one-fourth of all congenital heart disease cases. The existing palliative treatment for this anomaly achieves a survival rate of only 50%. To reduce...