未登录.png)
分享.png)
收藏分享 收藏 Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators利用机器学习和多样化的指标集合预测肯尼亚急性儿童营养不良
Tadesse, Girmaw Abebe; Ferguson, Laura; Robinson, Caleb; Kuria, Shiphrah; Wanyonyi, Herbert; Murage, Samuel; Mburu, Samuel; Dodhia, Rahul; Ferres, Juan M. Lavista; Dilkina, Bistra 分享 收藏 Land use and Europe's renewable energy transition: identifying low-conflict areas for wind and solar development土地利用和欧洲的可再生能源转型: 确定风能和太阳能发展的低冲突地区Kiesecker, Joseph M.; Evans, Jeffrey S.; Oakleaf, James R.; Dropuljic, Kasandra Zorica; Vejnovic, Igor; Rosslowe, Chris; Cremona, Elisabeth; Bhattacharjee, Aishwarya L.; Nagaraju, Shivaprakash K.; Ortiz, Anthony; Robinson, Caleb; Ferres, Juan Lavista; Zec, Mate; Sochi, Kei 分享 收藏 The Road to India's Renewable Energy Transition Must Pass through Crowded Lands印度可再生能源转型之路必须经过拥挤的土地Kiesecker, Joseph M.; Nagaraju, Shivaprakash K.; Oakleaf, James R.; Ortiz, Anthony; Ferres, Juan Lavista; Robinson, Caleb; Krishnaswamy, Srinivas; Mehta, Raman; Dodhia, Rahul; Evans, Jeffrey S.; Heiner, Michael; Priyadarshini, Pratiti; Chandran, Pooja; Sochi, Kei 分享 收藏 分享 收藏 分享 收藏 Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumesOrtiz, Anthony; Trivedi, Anusua; Desbiens, Jocelyn; Blazes, Marian; Robinson, Caleb; Gupta, Sunil; Dodhia, Rahul; Bhatraju, Pavan K.; Liles, W. Conrad; Lee, Aaron; Ferres, Juan M. Lavista 分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
