Predicting Mountaineering Accident Risks Using Deep Learning and Contextual Data (IMAGE)
Caption
To address the high number of mountaineering accidents in Japan, researchers developed a deep learning model that uses contextual information such as time of day, environmental conditions, and climbers’ details to accurately predict the risk of four major categories of climbing accidents. This holds immense potential to significantly improve mountain safety measures in Japan and worldwide.
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Dr. Yusuke Fukazawa from Sophia University, Japan
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