Pavement crack detection is critical for transportation infrastructure assessment using
ground penetrating radar (GPR). This paper describes a YOLOv3 model with four-scale …

The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

A comprehensive and well-structured review on the application of deep learning (DL) based
algorithms, such as convolutional neural networks (CNN) and long-short term memory …

With an intention of improving healthcare performance, wearable technology products utilize
several digital health sensors which are classically linked into sensor networks, including …

The sea clutter, referred to as the time-varying radar backscatter from the ocean surface,
plays a significant role in marine radar development. The ocean's complex hydrodynamics …

Sea clutter modeling and parameter estimation/prediction are important basis of system
design, performance assessment, and target detection of maritime radars. In addition to …

In this paper, we consider the problem of robustly and accurately estimating the shape
parameters of K-distributed sea clutter in the maritime radar industry. Outliers formed by non …

Industry 4.0 provides emergence to what is called the “Smart Factory.” Industry 4.0 (IR 4.0) is
a growing phenomenon for automation and information sharing in industrial technology …

The precise correction of outliers within radar rainfall data is crucial for a wide range of
applications, including the analysis of extreme rainfall events, hydrological modeling, and …

The characteristics of sea clutter in real marine environments in different sea areas play a
vital role in military industry, such as radar detection, remote sensing, SAR imaging, and …