IEEE

PCA-ViT: Hyperspectral Image Classification using Principal Component Analysis and Vision Transformer

Abstract: Hyperspectral image classification is essential in remote sensing applications, aiming to accurately categorize land cover or materials depicted in hyperspectral data. This paper introduces ...
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, ...