Remote sensing images provide a valuable way to observe the Earth's surface and identify
objects from a satellite or airborne perspective. Researchers can gain a more …

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and
artificial intelligence (AI), outperforming traditional ML methods, especially in handling …

Background: The global obesity epidemic demands innovative approaches to understand its
complex environmental and social determinants. Spatial technologies, such as geographic …

Cropland abandonment poses significant environmental, economic, and social challenges
globally. As urbanization encroaches on agricultural areas, understanding the dynamics of …

This research study investigates and predicts the obesity prevalence in Missouri, utilizing
deep neural visual features extracted from medium-resolution satellite imagery (Sentinel-2) …

The study focuses on the utilization of remote sensing data to analyze and detect
deforestation patterns, with an emphasis on the extraction of key parameters such as …

Remote sensing plays a vital role in various industries, including smart cities, agriculture,
and environmental monitoring, by capturing multispectral images of the Earth's surface and …

The vast and complex landscape of chemical space has traditionally been explored through
a combination of experimentation and knowledge-based computational approaches …