Flight departure delay prediction is one of the most critical components of intelligent aviation
systems. The accurate prediction of flight departure delays can provide passengers with …

In the complex and changeable marine environment, it is difficult to achieve high-
performance detection based on statistical theory for small sea surface detectors in practical …

In recent years, artificial intelligence has been applied in the industry to automate various
vision-based applications, such as monitoring structural defects in manufactured products …

It is a compelling task to detect sea-surface small targets in the background of strong sea
clutter. Traditional detection methods usually suffer from poor detection performance and a …

Recently, the matrix information geometry (MIG) detectors have been speedily developed
and demonstrated satisfactory performance in numerous applications. However, the MIG …

In this article, we propose the false-alarm-rate-controllable (FAC) classification of sea clutter
recurrence plots (RPs) based on convolutional neural networks (CNNs), which is shortened …

Small target detection in high-resolution sea clutter is one of the important problems in radar
target detection. We propose a new detector that adopts the visibility graph (VG) algorithm …

High-resolution sea-surface surveillance radars are designed to find two classes of small
targets, low-velocity and floating small targets on the sea surface and low-altitude small …

Aiming at the technical difficulty of marine radar to detect small targets embedded in the sea
clutter, this article proposed a three-feature fusion detection method based on singular …

In this paper, we focus on the prediction issue of the nonlinear chaotic time series. In
particular, we introduce the modified echo state network (M-ESN) to predict the time series of …