The area, object detection has seen a drastic development of algorithms and techniques
over the past years. The arrival of deep learning has boosted the improvement in accuracy …

The World Health Organization (WHO) has declared COVID-19 a pandemic. We review and
reduce the clinical literature on diagnosis of COVID-19 through symptoms that might be …

Traditional fault diagnosis methods are easy to be affected by different working conditions.
This article proposed a motor fault diagnosis method based on visual knowledge, to reduce …

In this article, we propose an adaptive time-reassigned synchrosqueezing transform
(ATSST) to characterize the signals with strongly time-varying feature. A time-varying …

Aiming at the problems of the existing robot vision SLAM (Simultaneous Localization and
Mapping), such as the small number of feature point extraction and the easy loss of …

Target recognition in thermal infrared images is challenging due to high variability of target
IR signature and competing background IR signature due to a number of environmental and …

Deep convolutional neural network (CNN) models are typically trained on high-resolution
images. When we apply them directly to low-resolution infrared images, for example, the …

An efficient, flexible multi-band thermal emitter is proposed in the present work, consisting of
a one-dimensional quasi-periodic photonic crystal and a reflective substrate. All the …

石墨烯因其高载流子迁移率和宽光谱吸收范围而广泛应用于光电探测. 然而,
其低光吸收率导致的高暗电流严重限制了它的光电探测性能. 钼基二硫族化合物(MoX 2, X= S …

Multispectral image alignment plays a crucial role in exploiting complementary information
between different spectral images. Homography-based image alignment can be a practical …