Applied Sciences, Volume 14, Issue 9
2024 May-1 - 416 articles
Cover Story: Forestry remains one of the most demanding and dangerous professions worldwide, with an increasing number of fatalities highlighting the pressing need for enhanced workplace safety measures. By analyzing large datasets with techniques like decision trees, random forests, and neural networks, Artificial Intelligence research uncovers intricate decision-making processes from basic associations to complex causal inferences. It emphasizes the importance of causal analysis in deriving actionable insights for accident prevention. Advances in the field of explainable AI, specifically in its application to occupational safety, by introducing novel perspectives to decision support systems in the forestry sector, ultimately aim to safeguard worker health and well-being in line with global sustainability goals. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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