Adaptive optics techniques have been developed over the past half century and routinely
used in large ground-based telescopes for more than 30 years. Although this technique has …

Reinforcement learning (RL) presents a new approach for controlling adaptive optics (AO)
systems for Astronomy. It promises to effectively cope with some aspects often hampering …

The hotel industry is an important energy consumer that needs efficient energy management
methods to guarantee its performance and sustainability. The new role of hotels as …

Focal plane wavefront sensing (FPWFS) is appealing for several reasons. Notably, it offers
high sensitivity and does not suffer from non-common path aberrations (NCPAs). The price …

Advances in the field of deep learning have motivated a flurry of research into the
application of neural networks to wavefront sensing for adaptive optics. This paper gives an …

Nowadays, the quality standards of higher education institutions pay special attention to the
performance and evaluation of the students. Then, having a complete academic record of …

We apply a U-Net-based convolutional neural network (NN) architecture to the problem of
predictive adaptive optics (AO) for tracking and imaging fast-moving targets, such as …

Batteries are one of the principal components in electric vehicles and mobile electronic
devices. They operate based on electrochemical reactions, which are exhaustively tested to …

Recent advances in adaptive optics (AO) have led to the implementation of wide field-of-
view AO systems. A number of wide-field AO systems are also planned for the forthcoming …

The use of techniques such as adaptive optics is mandatory when performing astronomical
observation from ground based telescopes, due to the atmospheric turbulence effects. In the …