Since its introduction by George Boole during the mid-1800s, Boolean algebra has become
an important part of the lingua franca of mathematics, science, engineering, and research in …

Advances in Machine Learning and Data Mining for Astronomy Page 1 W ay, Scargle, Chapman
& Hall/CRC Data Mining and Knowledge Discovery Series Advances in Machine Learning …

The results reported in this paper create a step toward the rough set-based foundations of
data mining and machine learning. The approach is based on calculi of approximation …

Sunspots are known to be the most prominent feature of the solar photosphere. Solar
activities play a vital role in Space weather which greatly affects the Earth's environment …

Sunspots are darker areas on the Sun's photosphere and most of solar eruptions occur in
complex sunspot groups. The Mount Wilson classification scheme describes the spatial …

Abstract The Astronomical Observatory of the University of Coimbra has a huge collection of
solar images, acquired daily since 1926. From the beginning, only spectroheliograms in the …

Abstract Long-lived (> 20 days) sunspot groups extracted from the Greenwich
Photoheliographic Results (GPR) are examined for evidence of decadal change. The …

We present an overview of Rough Granular Computing (RGC) approach to modeling
complex systems and processes. We discuss the granular methodology in conjunction with …

We propose a fully automated system to detect, aggregate, and classify sunspot groups
according to the McIntosh scheme using ground‐based white light (WL) observations from …

The physics of solar flares occurring on the Sun is highly complex and far from fully
understood. However, observations show that solar eruptions are associated with the …