A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

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

Abstract: Time, polarization, and wavelength multiplexing schemes have been used to satisfy the growing need of transmission capacity. Using space as a new dimension for communication systems has been ...

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 ...

stLearn is designed to comprehensively analyse Spatial Transcriptomics (ST) data to investigate complex biological processes within an undissociated tissue. ST is emerging as the “next generation” of ...

Abstract: Speckle is a granular disturbance, usually modeled as a multiplicative noise, that affects synthetic aperture radar (SAR) images, as well as all coherent images. Over the last three decades, ...