Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …

Effective fire detection provides early warnings and key information for first responders and
people trapped insides. The idea of integrating sensor data and fire modeling presents a …

There is a great need to implement preventive mechanisms against shootings and terrorist
acts in public spaces with a large influx of people. While surveillance cameras have become …

Abstract Three-dimensional (3D) shape reconstruction from a monocular two-dimensional
(2D) image has emerged as a highly demanded tool in many applications. This paper …

Passive Infrared (PIR) sensors are commonly used in indoor applications to detect human
presence. PIR sensors detect human presence by detecting the change in infrared radiation …

This study presents a simple and effective Mask R‐CNN algorithm for more rapid detection
of vehicles and pedestrians. The method is of practical value for anticollision warning …

Permutation matrices form an important computational building block frequently used in
various fields including, eg, communications, information security, and data processing …

Accurate three-dimensional (3D) shape reconstruction of objects from a single image is a
challenging task, yet it is highly demanded by numerous applications. This paper presents a …

Digital Holography (DH) technology has grown fast over the years, offering the possibility to
encode complex information from three-dimensional real-world objects onto two …

This paper presents a new paradigm in the analysis and methodology for Surface Acoustic
Wave (SAW) devices for sensing application in a liquid medium. This new protocol …