This study investigates how urban configuration influences the distribution of heat, known as
the Urban Heat Island (UHI) effect, in Shiraz, Iran. Several Machine Learning algorithms are …

This paper presents a posture recognition system aimed at detecting sitting postures of a
wheelchair user. The main goals of the proposed system are to identify and inform irregular …

High-spatial-resolution images play an important role in land cover classification, and object-
based image analysis (OBIA) presents a good method of processing high-spatial-resolution …

This study presents the first high-resolution Land Use/Land Cover dataset for Iran in 2022
(ILULC-2022), with a particular emphasis on the agricultural areas. This research employed …

Climate change resulted in dramatic change in the monsoon precipitation rates in Malaysia,
contributing to repetitive flooding events. This research examines different substantial …

Land cover classification (LCC) refers to the task of classifying each pixel in satellite/aerial
imagery by predicting a label carrying information about its nature. Despite the importance of …

Agricultural land abandonment due to floods has become a significant global problem,
causing multiple environmental issues, deteriorating rural landscapes, and impacting the …

In the municipality of Batna, urban dynamics consume peri-urban areas, putting the most
fertile agricultural land at risk. Preserving these spaces becomes a priority. However, the …

Potato is a food crop at a global scale, bearing a hefty importance for the food security and
nutrition of millions of people worldwide. Nonetheless, some obstacles have to be overcome …

Accurate and timely collection of urban land use and land cover information is crucial for
many aspects of urban development and environment protection. Very high‐resolution …