The motion-based human detection from video data in the real-time automated surveillance
system is a tedious and challenging task that requires extracting meaningful information and …

In real-time based smart video surveillance system, the moving human detection in thermal
video is a critical task that filters out redundant information and extracts exigent information …

In the field of power systems, insulating polymers have found extensive application due to
their outstanding properties. However, these materials are susceptible to defects arising …

An unreported phenomenon of phase evolution of Rayleigh ultrasonic waves with
subsurface defects is observed and systematically explored for detection of subsurface …

The paper presented a novel approach for characterization of defects based on laser
ultrasonic nondestructive testing. Both flat materials and curved materials are used as …

The increasing use of honeycomb structures in the aircraft industry has demonstrated the
need for the development of more effective evaluation methodologies. In recent years …

A novel detection method and targets signal extraction algorithm for parallel steel pipeline
localization and defects recognition based on harmonic magnetic field are proposed. An …

Obesity, associated with having excess body fat, is a critical public health problem that can
cause serious diseases. Although a range of techniques for body fat estimation have been …

Deep learning (DL) is an important enabling technology for intelligent manufacturing. The
DL-based industrial image pattern recognition (DLBIIPR) plays a vital role in the …

CFRP (carbon fiber reinforced plastic) has replaced conventional metallic materials in many
industrial applications because of its outstanding mechanical performance such as high …