We review the current state of data mining and machine learning in astronomy. Data Mining
can have a somewhat mixed connotation from the point of view of a researcher in this field. If …

Remote sensing data have become very widespread in recent years, and the exploitation of
this technology has gone from developments mainly conducted by government intelligence …

This study treats architecture and implementation of a field-programmable gate array (FPGA)
accelerator for double-precision floating-point matrix multiplication. The architecture is …

Hyperspectral remote sensing attempts to identify features in the surface of the Earth using
sensors that generally provide large amounts of data. The data are usually collected by a …

Hyperspectral imaging is a new emerging technology in remote sensing which generates
hundreds of images, at different wavelength channels, for the same area on the surface of …

One of the most popular and widely used techniques for analyzing remotely sensed
hyperspectral data is spectral unmixing, which relies on two stages:(i) identification of pure …

Runtime Reconfiguration (RTR) has been traditionally utilized as a means for exploiting the
flexibility of High-Performance Reconfigurable Computers (HPRCs). However, the RTR …

The radio network design (RND) is an NP-hard optimization problem which consists of the
maximization of the coverage of a given area while minimizing the base station deployment …

Processing and storage of confidential or critical information is an every day occurrence in
computing systems. The trustworthiness of computing devices has become an important …

HPRC (High-Performance Reconfigurable Computing) systems include multicore
processors and reconfigurable devices acting as custom coprocessors. Due to economic …