A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
In today's world, not only a degree but also new skills are essential for career advancement. Especially for those already employed, finding time to learn something new is difficult. Balancing office ...
Abstract: This paper proposes a course intelligent recommendation system based on machine learning algorithm to achieve more accurate personalized recommendation. The system uses deep learning model ...
Abstract: This research presents a novel approach to detecting epileptic seizures leveraging the strengths of Machine Learning (ML) and Deep Learning (DL) algorithms in EEG signals. Epileptic seizures ...
Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY tooling across Python projects, and take a peek at ComfyUI: interactive, ...
Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...