Building rooftop segmentation using deep learning techniques is a popular yet challenging
area of research in computer vision and remote sensing image processing. While recent …

The utilization of rooftop space offers various benefits to cities and their residents, such as
urban heat island mitigation, energy saving, and water management. However, a …

Assessing the development of rooftop photovoltaic (PV) plays a positive role in promoting
the deployment of solar installations. In response to the problem that previous studies did …

Solar power is an effective way to reduce the dependency on conventional fuels and
mitigate the water and energy shortage issue. The main aim of the current paper is to assess …

Satellite imagery provides impartial, inclusive, and timely geospatial data regarding global
issues, supplementing traditional ground-based methods. The volume, velocity, and variety …

Current AI-based methods do not provide comprehensible physical interpretations of the
utilized data, extracted features, and predictions/inference operations. As a result, deep …

eXplainable Artificial Intelligence (XAI) has emerged as an essential requirement when
dealing with mission-critical applications, ensuring transparency and interpretability of the …

In Lebanon, the failure to supply oil-based electricity was mostly due to flawed management,
increasing costs of bills of private generators, the rise of fuel prices, and the absence of …

Solar power generation is an effective way to reduce carbon emissions and has a wide
range of applications worldwide. China's newly installed photovoltaic capacity has ranked …

Foundation models have excelled in various tasks but are often evaluated on general
benchmarks. The adaptation of these models for specific domains, such as remote sensing …