Land cover classification in semiarid areas is a difficult task that has been tackled using
different strategies, such as the use of normalized indices, texture metrics, and the …

Satellite-based link analysis is valuable for efficient and secure quantum communication,
despite seasonal limits and restrictions on transmission times. A semi-empirical quantum …

With recent advancements in machine learning, especially in deep learning, the prediction
of eye diseases based on fundus photography using deep convolutional neural networks …

In the world, there is a growing need for lower limb prostheses due to a rising number of
amputations caused primarily, by diabetic foot. Researchers enable functional and …

The mathematical modeling of synaptically connected neuronal networks is an established
instrument for gaining insights into dynamics of neuronal ensembles and information …

In this paper, we present a new kind of high power and high efficiency free-electron laser
oscillator based on the application of the tapering enhanced stimulated superradiant …

The Timepix3 is a hybrid pixellated radiation detector consisting of a 256 px× 256 px
radiation-sensitive matrix. Research has shown that it is susceptible to energy spectrum …

Illumination uniformity is a critical parameter for excitation and data extraction quality in
widefield biological imaging applications. However, typical imaging systems suffer from …

Integral controllers are commonly employed in astronomical adaptive optics. This work
presents a novel tuning procedure for integral controllers in adaptive optics systems which …

Following Moore's law, the density of integrated circuits is increasing in all dimensions, for
instance, in 3D stacked chip networks. Amongst other electro-optic solutions, multimode …