Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …

Principal component analysis (PCA) is often applied for analyzing data in the most diverse
areas. This work reports, in an accessible and integrated manner, several theoretical and …

Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …

In higher education, student learning satisfaction is a significant predictor of learning that
indicates the commitment students have to their learning and future academic achievement …

For optimal computer vision outcomes, attention to image pre-processing is required so that
one can improve image features by eliminating unwanted falsification. This book …

Polarization speckle is a growing research field, especially for the purposes of biomedical
imaging and diagnostics. The statistical uniformity of speckle creates novel opportunities for …

This paper proposes an automated diagnostic tool namely, Auto-MyIn, for diagnosing
myocardial infarction (MI) using multiple convolutional neural networks (CNN). Rather than …

Nowadays, with the improvement in communication through social network services, a
massive amount of data is being generated from user's perceptions, emotions, posts …

COVID-19 pandemic has been spread like wildfire and left its deadly impact throughout the
world. This would harm businesses according to the sectors. Like other sectors real estate …

Medical image registration is vital for precise healthcare diagnosis, treatment planning, and
disease progression tracking, but traditional methods fail to capture complex spatial …