Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

We developed a statistical method for Integrative and Reference-Informed Spatial Domain Detection for Spatial Transcriptomics. IRIS is a reference-informed integrative method for detecting spatial ...

Abstract: Domain adaptation is a pivotal technique for improving the classification performance of remote sensing scenes impacted by data distribution shifts. The existing spatial-domain feature ...

Abstract: In recent years among data hiding technologies, Reversible Data Hiding(RDH) technology has attracted widespread interest and application, which is to hide the secret information in a carrier ...

Spatial clustering (or spatial domain identification) determines cellular niches characterized by specific admixing of these populations. It assigns cells to clusters based on both their intrinsic ...

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

When a hardware store looks this photogenic, you know something special is happening inside those walls. Photo credit: Alyssa M. The wooden floors provide a soundtrack to your shopping experience, ...

Last week, I introduced Emmy Noether, an extraordinary figure in the fields of mathematics and physics. To understand Noether ...

CoStar Group, Inc. (NASDAQ: CSGP), a leading provider of online real estate marketplaces, information and analytics, today announced the results of its Annual Meeting of Stockholders (the "Annual ...

Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...