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Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran 期刊论文
Natural Hazards, 2020, 卷号: 104, 期号: 1
作者:  Eskandari S.;  Amiri M.;  Sãdhasivam N.;  Pourghasemi H.R.
收藏  |  浏览/下载：29/0  |  提交时间：2021/09/01
Distance to urban areas (DTU)  Effective factors  Fire hazard mapping  Individual and hybrid modeling  Machine learning  XGBoost  
A Bayesian network model for prediction and analysis of possible forest fire causes 期刊论文
, 2020, 卷号: 457
作者:  Sevinc V.;  Kucuk O.;  Goltas M.
收藏  |  浏览/下载：24/0  |  提交时间：2020/07/28
Deforestation  Fire hazards  Fires  Forecasting  Learning algorithms  Roads and streets  Sensitivity analysis  Timber  Wind  Agricultural land  Bayesian network models  Different sizes  Forest fires  Interactive relation  Lightning strikes  Prediction and analysis  Structural learning  Bayesian networks  algorithm  Bayesian analysis  biomass burning  forest fire  machine learning  numerical model  prediction  sensitivity analysis  Area  Deforestation  Distance  Forecasts  Forest Fires  Temperature  Wind  Mugla  Turkey  
Can MOOCs empower people to critically think about climate change? A learning outcome based comparison of two MOOCs 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 222, 页码: 12-21
作者:  Otto, Daniel;  Caeiro, Sandra;  Nicolau, Paula;  Disterheft, Antje;  Teixeira, Antonio;  Becker, Sara;  Bollmann, Alexander;  Sander, Kirsten
收藏  |  浏览/下载：18/0  |  提交时间：2019/10/08
Climate change education  Massive online open courses (MOOCs)  Distance learning  Climate literacy  Sustainability  Open education