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科研机构

湖南大学 [2]

中国石油大学（北京） [2]

兰州理工大学 [1]

大连理工大学 [1]

北京航空航天大学 [1]

山东大学 [1]

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期刊论文 [8]

会议论文 [2]

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2019 [10]

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浏览/检索结果: 共10条，第1-10条

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发表日期：2019

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	Deep Learning with Long Short-Term Memory Networks for Air Temperature Predictions 会议论文 Dublin, Ireland, October 17, 2019 - October 19, 2019 作者: Li, Cong; Zhang, Yaonan; Zhao, Guohui 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Agricultural robots Agriculture Atmospheric temperature Brain Decision trees Deep learning Deep neural networks Forecasting Manufacture Random forests Agricultural productions Air temperature Meteorological variables Prediction accuracy Process temperature Short term memory Temperature prediction Time-series data
	Large-scale production of tauroursodeoxycholic acid products through fermentation optimization of engineered Escherichia coli cell factory 期刊论文 MICROBIAL CELL FACTORIES, 2019, 卷号: 18 作者: Xu, Yingpeng; Yang, Li; Zhao, Shujuan; Wang, Zhengtao 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/12/05 TUDCA Fermentation Biotransformation Escherichia coli Process optimization Deep-tank static process
	Buffer-Aware Streaming in Small-Scale Wireless Networks: A Deep Reinforcement Learning Approach 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 页码: 6891-6902 作者: Guo, Yashuang; Yu, F. Richard; An, Jianping; Yang, Kai; He, Ying 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02 Buffer-aware video streaming wireless networks deep reinforcement learning Markov decision process
	Large-scale production of tauroursodeoxycholic acid products through fermentation optimization of engineered Escherichia coli cell factory 期刊论文 Microbial cell factories, 2019, 卷号: 18, 页码: 34 作者: Xu Yingpeng[1]; Yang Li[2]; Zhao Shujuan[3]; Wang Zhengtao[4] 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/04/22 Biotransformation Deep-tank static process Escherichia coli Fermentation Process optimization TUDCA
	A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.6, 页码: 3599-3618 作者: Zhiqiang Gong; Ping Zhong; Yang Yu; Weidong Hu; Shutao Li 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/13 Hyperspectral imaging Measurement Feature extraction Training Convolution Task analysis Convolutional neural network (CNN) deep metric learning determinantal point process (DPP) hyperspectral image image classification multiscale features
	Collapse of a Deep Excavated Foundation Pit in the Soft Soils by 3-D FEM 期刊论文 Transactions of Nanjing University of Aeronautics and Astronautics, 2019, 期号: 01, 页码: 162-174 作者: ZHUANG Haiyang; XUE Xuchao; YU Xu 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/11 deep excavation subway station collapse process numerical modeling soft soil
	A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.6, 页码: 3599-3618 作者: Gong, ZQ; Zhong, P; Yu, Y; Hu, WD; Li, ST 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/17 Convolution Convolutional neural network (CNN) deep metric learning determinantal point process (DPP) Feature extraction hyperspectral image Hyperspectral imaging image classification Measurement multiscale features Training
	Application of catastrophe theory to fracability evaluation of deep shale reservoir 期刊论文 ARABIAN JOURNAL OF GEOSCIENCES, 2019, 卷号: 12 - 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/01/03 Deep shale reservoir Catastrophe theory Analytic hierarchy process (AHP) Weighting coefficient Multi-level sub-system
	Application of catastrophe theory to fracability evaluation of deep shale reservoir 会议论文 ARABIAN JOURNAL OF GEOSCIENCES, 2019-03-01 - 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/01/03 Deep shale reservoir Catastrophe theory Analytic hierarchy process (AHP) Weighting coefficient Multi-level sub-system
	In-process complex machining condition monitoring based on deep forest and process information fusion 期刊论文 INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 卷号: 104, 页码: 1953-1966 作者: Lu, Zhiyuan; Wang, Meiqing; Dai, Wei; Sun, Jiahuan 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Multiple abnormal conditions' detection Complex machining process Deep forest Feature selection Multi-signal process information

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