Title: "Heart Disease Prediction through Enhanced Machine Learning and Diverse Feature Selection Approaches,"
Published in: ICSIMA2024 (International Conference on Smart Instrumentation, Measurement, and Applications)
This study delves into leveraging advanced machine learning techniques alongside diverse feature selection methodologies to improve the accuracy of heart disease prediction. It's a step forward in harnessing technology for impactful healthcare solutions.
Paper Link: 10.1109/ICSIMA62563.2024.10675564
2.
Title: "Optimizing Facial Recognition: An Analytical Comparison of Traditional and Deep Learning Approaches"
Published In: 2024 International Conference on Data Science and Its Applications (ICoDSA)
This work presents a detailed exploration of traditional techniques like PCA and SVM alongside modern deep learning approaches, including CNNs and transfer learning using MobileNet. It highlights how these methods compare and complement each other in the quest for more efficient and accurate facial recognition systems.
