This article gives a survey of state-of-the-art methods for processing remotely sensed big
data and thoroughly investigates existing parallel implementations on diverse popular high …

Resting state functional connectivity magnetic resonance imaging (rsfcMRI) has become a
key component of investigations of neurocognitive and psychiatric behaviors. Over the past …

Big Data (ie, social big data, vehicular big data, healthcare big data etc) points to massive
and complex data, that require special technologies and approaches for storage …

This paper introduces CompressedMediQ, a novel hybrid quantum-classical machine
learning pipeline specifically developed to address the computational challenges …

The current evolution of 'cloud neuroscience'leads to more efforts with the large-scale EEG
applications, by using EEG pipelines to handle the rapidly accumulating EEG data …

The field of functional neuroimaging has substantially advanced as a big data science in the
past decade, thanks to international collaborative projects and community efforts. Here we …

Big data technologies have proliferated since the dawn of the cloud-computing era.
Traditional data storage, extraction, transformation, and analysis technologies have thus …

Communication operators are paying more and more attention to the value of data and are
demanding more and bigger data technologies. Many companies have started to take …

The malignancy of the colorectal testing methods has been exposed triumph to decrease the
occurrence and death rate; this cancer is the relatively sluggish rising and has an extremely …

For processing large-scale medical imaging data, adopting high-performance computing
and cloud-based resources are getting attention rapidly. Due to its low–cost and non …