The algorithm of synthetic aperture radar automatic target recognition (SAR-ATR) is
generally composed of the extraction of a set of features that transform the raw input into a …

Deep convolutional neural networks have achieved great success in computer vision and
many other areas. They automatically extract translational-invariant spatial features and …

Electrocatalytic nitrite (NO 2 − ) reduction to ammonia (NH 3 ) has been an attractive topic,
which not only removes NO 2 − pollutants existing in surface water and underground water …

To study the hot deformation behavior of Ni 3 Al-based alloy, hot compression tests were
conducted in the temperature range of 1050–1250 C with the strain rates from 0.01 to 10 s −1 . …

A key challenge of modern biology is to uncover the functional role of the protein entities
that compose cellular proteomes. To this end, the availability of reliable three-dimensional …

The lack of a precisely-dated, unequivocal climate proxy from northern China, where
precipitation variability is traditionally considered as an East Asian summer monsoon (EASM) …

The status of the research on muon colliders is discussed and plans are outlined for future
theoretical and experimental studies. Besides work on the parameters of a 3–4 and 0.5 TeV …

Following the great success of deep convolutional neural networks (CNNs) in computer vision,
this paper proposes a complex-valued CNN (CV-CNN) specifically for synthetic aperture …

Vortex generators are widely used passive flow-control devices to improve the aerodynamic
performance of large wind turbines. In this paper, the aerodynamic performance of the airfoil …

Deep learning algorithms such as convolutional neural networks (CNN) have been
successfully applied in computer vision. This paper attempts to adapt the optical camera-oriented …