Abstract: EEG data have significant academic and clinical value because of their non-invasive nature which allows for easy extraction. At the same time, they are also prone to distortion from noise, ...
Abstract: The growth of interconnected devices has led to an enormous volume of temporal data that requires specialized compression models for efficient storage. Besides this, most applications need ...