Currently available face datasets mainly consist of a large number of high-quality and a
small number of low-quality samples. As a result, a Face Recognition (FR) network fails to …

Manufacturing is gathering extensive amounts of diverse data, thanks to the growing number
of sensors and rapid advances in sensing technologies. Among the various data types …

Transform and entropy models are the two core components in deep image compression
neural networks. Most existing learning-based image compression methods utilize …

Studying the solar system and especially the Sun relies on the data gathered daily from
space missions. These missions are data-intensive and compressing this data to make them …

NASA's Solar Dynamics Observatory (SDO) mission collects large data volumes of the Sun's
daily activity. Data compression is crucial for space missions to reduce data storage and …

One of the topics in machine learning that is becoming more and more relevant is
multivariate time series classification. Current techniques concentrate on identifying the local …

Missions studying the dynamic behaviour of the Sun are defined to capture multi-spectral
images of the sun and transmit them to the ground station in a daily basis. To make …