AI technology has a long history which is actively and constantly changing and growing. It
focuses on intelligent agents, which contain devices that perceive the environment and …

Timely and overall knowledge of the states and resource allocation of diverse activities on
construction sites is critical to resource leveling, progress tracking, and productivity analysis …

Capturing the working states of workers on foot allows managers to precisely quantify and
benchmark labor productivity, which in turn enables them to evaluate productivity losses and …

Activity identification is an essential step to measure and monitor the performance of
earthmoving operations. Many vision-based methods that automatically capture and explain …

A novel framework, for real-time action detection, recognition and evaluation of motion
capture data, is presented in this paper. Pose and kinematics information is used for data …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Deep learning architectures have been applied increasingly in multi-modal problems which
has empowered a large number of application domains needing much less human …

Advancements in deep learning over the years have attracted research into how deep
artificial neural networks can be used in robotic systems. This research survey will present a …

Human activity recognition is an important and active field of research having a wide range
of applications in numerous fields including ambient‐assisted living (AL). Although most of …

As work has come to require more dynamic and collaborative settings, activity-based work
(ABW) environments have claimed increasing attention. However, without a clear …