Development of an artificial intelligence based occupational noise induced hearing loss early warning system for mine workers
Milka C. I. Madahana,
John E. D. Ekoru,
Ben Sebothoma
et al.
Abstract:IntroductionOccupational Noise Induced Hearing Loss (ONIHL) is one of the most prevalent conditions among mine workers globally. This reality is due to mine workers being exposed to noise produced by heavy machinery, rock drilling, blasting, and so on. This condition can be compounded by the fact that mine workers often work in confined workspaces for extended periods of time, where little to no attenuation of noise occurs. The objective of this research work is to present a preliminary study of the developmen… Show more
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