中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共5条，第1-5条

帮助

条数/页：排序方式：
	A Framework to Predict High-Resolution Spatiotemporal PM(2.5)Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 33 作者: Zhang, Guangyuan; Lu, Haiyue; Dong, Jin; Poslad, Stefan; Li, Runkui \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/03/16 PM2.5 AOD XGBoost prediction deep learning ConvLSTM SARIMA
	Innovative education and training in high power laser plasmas (PowerLaPs) for plasma physics, high power laser matter interactions and high energy density physics: experimental diagnostics and simulations 期刊论文 OAI收割 HIGH POWER LASER SCIENCE AND ENGINEERING, 2020, 卷号: 8 - \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/10/26 laser plasma interactions postgraduate education
	The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 181534-181546 作者: Zheng, Zhi; Zhang, Guangyuan \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/03/16 Prediction human population density distribution SARIMA ConvLSTM Tencent positioning data deep learning geographic spatiotemporal big data
	The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 181534-181546 作者: Zheng, Zhi; Zhang, Guangyuan \| 收藏 \| 浏览/下载：4/0 \| 提交时间：2021/03/16 Prediction human population density distribution SARIMA ConvLSTM Tencent positioning data deep learning geographic spatiotemporal big data
	First demonstration of olfactory learning and long-term memory in honey bee queens 期刊论文 OAI收割 JOURNAL OF EXPERIMENTAL BIOLOGY, 2018, 卷号: 221, 期号: 14, 页码: - 作者: Gong, Zhiwen; Tan, Ken; Nieh, James C.; Tan, K (reprint author), Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 650223, Yunnan, Peoples R China. \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2018/09/05 Queen Learning Worker Learning Dna Methylation Remote Memory