The unprecedented evolution of artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL), has catalysed transformative ...

Scientists from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences, in collaboration with ...

Increased vegetation growth in European mountains, driven by climate and land-use changes, reduces the genetic diversity of ...

Abstract: Unsupervised domain adaptation (UDA) for remote sensing image semantic segmentation aims to train a deep model on the labeled source domain and apply it to the unlabeled target domain.

The incidence of young-onset ischemic stroke is rising, driven by cryptogenic ischemic stroke (CIS) and patients without vascular risk factors. This study examines the burden and associations of ...

MELEXIS MLX90642 thermographic sensor features a 32×24 pixel InfraRed (IR) array that redefines market expectations. Device offers an improved signal-to-noise ratio, global shutter readout and onboard ...

published in Cell Reports Sustainability," researchers conducted an observational analysis using remote sensing, climate datasets, and hydrological records across the Thar Desert. Conditions in ...

Are you interested in remote sensing and GIS as research and analysis method? The Remote Sensing and GIS course provides you with knowledge about remote sensing as an anlytical method, practical ...

Abstract: Open-vocabulary image semantic segmentation (OVS ... to natural images and struggle with the unique characteristics of high-resolution remote sensing images, such as rapidly changing ...

For long-distance sensing, the MIT team came up with the idea to engineer cells to produce hyperspectral reporter molecules, which can be detected using hyperspectral cameras. These cameras ...