Abstract
The fourth industrial revolution was led by Industry 4.0, which turned traditional into smart factories controlled by the Internet of Things (IoT). Because of the high incidence of work-related accidents and losses, the building industry faces a range of problems and is regarded as a high-risk industry. These difficulties often lead to higher-level problems such as overruns of cost, schedule expansion, and failure of the project. As a result, construction research has decided to identify best practices for enhancing safety, performance, and efficiency. The characteristics of portable devices, as well as safety criteria that can be used to forecast safety, efficiency, and organization practices are recognized and analysed. Adoption of recommender systems will result in significant improvements in terms of protection, reliability, and productivity, as well as a reduction in the risk of falling. Individual portable sensors or devices combined for multiparameter safety output monitoring based on their characteristics can be used effectively.
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Parthiban, L., Latchoumi, T.P., Balamurugan, K., Raja, K., Parthiban, R. (2024). Cognitive Computing for the Internet of Medical Things. In: Goundar, S., Anandan, R. (eds) Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-35751-0_5
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