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Unraveling the song of ice and fire across the American landscape with machine learning 科技资讯
2024
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Scientists develop AI model to predict earthquakes in Arabian Peninsula 科技资讯
2024
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Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2024, 卷号: 555
作者:  Singha, Chiranjit;  Swain, Kishore Chandra;  Moghimi, Armin;  Foroughnia, Fatemeh;  Swain, Sanjay Kumar
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Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2024, 卷号: 555
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Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia 期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 6
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Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning 期刊论文
IEEE ACCESS, 2024, 卷号: 12
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Enhancing flood-response commuting resilience via driving mechanism investigation: New evidence from Wuhan, China 期刊论文
TRAVEL BEHAVIOUR AND SOCIETY, 2024, 卷号: 35
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Machine learning-based field geological mapping: A new exploration of geological survey data acquisition strategy 期刊论文
ORE GEOLOGY REVIEWS, 2024, 卷号: 166
作者:  Wang, Wenlei;  Xue, Congcong;  Zhao, Jie;  Yuan, Changjiang;  Tang, Jie
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Machine learning-based field geological mapping: A new exploration of geological survey data acquisition strategy 期刊论文
ORE GEOLOGY REVIEWS, 2024, 卷号: 166
收藏  |  浏览/下载：0/0  |  提交时间：2024/06/11
Prediction of driving stress on high-altitude expressway using driving environment features: A naturalistic driving study in Tibet 期刊论文
TRAFFIC INJURY PREVENTION, 2024
作者:  Qin, Pengcheng;  He, Jie;  Sun, Shuang;  Yan, Xintong;  Wang, Chenwei;  Ye, Yuntao;  Yan, Guanfeng;  Yan, Tao;  Wang, Mingnian
收藏  |  浏览/下载：3/0  |  提交时间：2024/03/01
High-altitude expressway  driving stress prediction  naturalistic driving test  driving environment element  machine learning