Solar activity has been subject to increasingly more research in the last decades. Its
influence on life on Earth is now better understood. Solar winds impact the earth's magnetic …

Photospheric magnetic fields are manifested as sunspots, which cover various sizes over
high-resolution, full-disk, solar continuum images. This paper proposes a novel deep …

A huge collection of solar images to visualize sunspot are acquired by various solar
observatories spread across the globe. This necessitates efficient tools for detecting and …

Decision-makers have consistently developed a range of classification models, each
possessing unique features within the domain of intelligent models. These endeavors are all …

The implementation of automated methods for sunspot detection is essential to obtain better
objectivity, efficiency, and accuracy in identifying sunspots and analysing their …

Solar granulation is the visible signature of convective cells at the solar surface. The
granulation cellular pattern observed in the continuum intensity images is characterised by …

The automatic detection and analysis of sunspots play a crucial role in understanding solar
dynamics and predicting space weather events. This paper proposes a novel method for …

Accurate and automated monitoring of space weather has become increasingly important in
our modern-day world, due to the reliance on critical infrastructure such as wireless …

The agriculture sector in sub-Saharan Africa faces significant challenges in growing vital
food security crops like maize due to crop diseases. In response, we introduce a robust deep …

In this study, we report on the processing and analysis of around 9700 images of the solar
disk, obtained from the SOHO and SDO satellites, available in the Helioviewer database …