Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-poor regions, yet the resource requirements of SIML limit its accessibility and use. We show that a single encoding of...

Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-poor regions, yet the resource requirements of SIML limit its accessibility and use. We show that a single encoding of...

Diese Studie befasst sich mit den Auswirkungen des Einsatzes von Gesichtserkennungssoftware im stationären Einzelhandel. Das zentrale Forschungsthema ist die Frage, inwieweit das Wissen des Kunden über den Einsatz von Gesichtserkennungssoftware im stationären Einzelhandel seine...

This article presents a local entropy based image reconstruction algorithm that performs quite well in cases where there is distortion in an image. If the "wanted" image information is still available but distributed over two or more distinct images, the algorithm can collect the required...

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