IEEE

Empirical Study of Principal Component Analysis (PCA): A Comparison of Various Dimensionality Reduction Methods Based on the Wisconsin Breast Cancer and Fashion MNIST Datasets

Abstract: In the era of big data, dimensionality reduction is essential for addressing challenges posed by high-dimensional datasets. This paper empirically compares Principal Component Analysis (PCA) ...
The Lancet

Comparative efficacy and acceptability of pharmacological, psychological, and neurostimulatory interventions for ADHD in adults: a systematic review and component network meta ...

iDepartment of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK jClinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, ...
IEEE

A Novel Approach to Enhancing Multi-Modal Facial Recognition: Integrating Convolutional Neural Networks, Principal Component Analysis, and Sequential Neural Networks

Abstract: Facial recognition technology is crucial for precise and rapid identity verification and security. This research delves into advancements in facial recognition technology for verification ...