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...

Land constitutes the most important character for sustainable development in a region. Rapid urbanization has become an area of crucial concern against the bonanza of urban ecology. The land use pattern of any urban area hints not only its immediate current space requirements of the inheriting...

Irrigation scheduling and automation are usually conducted using models that are based on the measurement of the soil water content. In this sense, water balance has established itself as a good indicator of the growth and development of crops and is currently used in several automatic...

Facial recognition technology (FRT) has emerged as an attractive solution to address many contemporary needs for identification and the verification of identity claims. It brings together the promise of other biometric systems, which attempt to tie identity to individually distinctive features...

The potential of a new procedure of image processing for the characterization of a given combustion state through flame visualization is here presented and discussed. Experimental tests were carried out in a swirl-stabilized, semi-industrial scale burner of 500kWth. Using an advanced vision...

We extend the transformational model of social activity proposed in recent realist social theory by importing into it a theory of technological objects and technological change. The paper begins with an account of the transformational model, focusing particularly on the relationship between...

In this study, experiments of single-file pedestrian movement were conducted and the movement parameters of pedestrians were extracted with a digital image processing method based on a mean-shift algorithm. The microscopic characteristics of pedestrian dynamics, including velocity, density, and...