Real-time forecasting of solar radiation posses several benefits and has huge potential for
industrial applications. However, the intermittent nature of solar radiation makes it difficult to …

The growing necessity for enhanced processing capabilities in edge devices with limited
resources has led us to develop effective methods for improving high-performance …

Accurate cloud-type identification and coverage analysis are crucial in understanding
Earth's radiative budget. Traditional computer vision methods rely on low-level visual …

The advent of Industry 4.0 has highlighted the requirements for the digitization and
intelligent evolution of space-based payloads. To address challenges like limited data …

This paper focuses on the development of a Meteorological Service for Air Navigation
system, which classifies clouds into five categories: BKN, CAVOK, FEW, OVER, and SCT …

This paper compares the use of deep learning with YOLOv5 and ReLU to create a prediction
system for Aeronautical Meteorological Services. The system forecasts five types of weather …

Environmental sensor networks have the potential to augment scientific research and help
address urban challenges, but scalability remains a major hurdle. The SAGE network [1], led …