This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a scoping review was …

Abstract Industry 4.0 (I4. 0) is a new production paradigm based on the high use of
technologies that has a powerful impact on the work and workers. However, the impacts of …

In the construction industry, managing health and safety concerns is paramount to
preventing accidents, injuries, and project delays. The integration of Artificial Intelligence (AI) …

Industry 4.0 is changing the traditional manufacturing context, increasing digitalization
towards smart production. Safety is one of the most critical issues and companies are …

Agricultural workers suffer from many work-related illnesses. Some of the most common
include musculoskeletal disorders (MSDs). These types of disorders are caused by diverse …

Recent research argues that robots could replace workers in dangerous work environments
to reduce occupational injuries. However, robot development and usage in most developing …

The purpose of this study was to evaluate the effects of an industrial passive assisted
exoskeleton (IPAE) with simulated lifting tasks on muscle activity, oxygen consumption …

Sensor arrays are widely used to extract the distribution of variables in large sensing areas
or collect multi-degree-of-freedom data. In this paper, we propose adaptive resistance matrix …

In theory, replacing workers with robots in dangerous working environments can protect
workers' safety. Therefore, a higher frequency of occupational injuries (OIs) may force more …