Abstract Generative Adversarial Networks (GANs) have emerged as a powerful tool rapidly
advancing the state-of-the-art in numerous domains. This paper conducts a comprehensive …

In this article, we cumulate previous research findings indicating that generative artificial
intelligence and emotional state prediction tools can increase labor productivity and …

Based on an in-depth survey of the literature, the purpose of the paper is to explore real-time
event and network visual analytics, employee engagement data and performance metrics …

The purpose of this study is to examine multimodal behavioral analytics, holographic display
devices, and virtual reality-based job training. In this article, we cumulate previous research …

The objective of this paper is to systematically review generative artificial intelligence
substituting both human labor and decisions. The findings and analyses highlight that …

The escalating volume of construction activities and resultant waste generation underscores
the imperative for developing sophisticated segmentation models to facilitate efficient sorting …

The present study systematically reviews the existing research on computer-based
teamwork simulations, movement tracking sensors, and wearable augmented reality devices …

Images captured in rainy weather conditions often suffer from contamination, resulting in
blurred or obscured objects, which can significantly impact detection performance due to the …

This paper draws on a substantial body of theoretical and empirical research on generative
artificial intelligence and spatial data mining algorithms enabling virtual employee …

The purpose of this study is to examine generative artificial intelligence and remote sensing
and spatial analytics tools enabling meaningful productivity growth and labor market …