Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...
Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...
Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...
This project is a state-of-the-art Machine Learning system designed to predict the final score of One Day International (ODI) cricket matches in real-time. Unlike simple run-rate calculators, our ...
This project implements a machine learning-based deformer for Autodesk Maya that automatically predicts corrective blendshapes based on skeletal joint poses. The system learns from artist-provided or ...
This study investigates the relationship between classroom thermal environment and student learning performance in a controlled university setting using Arduino-based temperature and humidity sensors.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback