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科研机构

北京航空航天大学 [9]

深圳先进技术研究院 [9]

西安交通大学 [5]

自动化研究所 [5]

福州大学 [4]

复旦大学上海医学院 [3]

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会议论文 [49]

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	Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method 会议论文 Kunming, China, July 20, 2019 - July 22, 2019 作者: Lv, Yuanxin; Shi, Xiaoyu; Ran, Longyu; Shang, Mingsheng 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/02/18
	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
	A Deployment Model of Charging Pile Based on Random Forest for Shared Electric Vehicle in Smart Cities 会议论文 14th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2018, Shenyang, China, 2018-12-06 作者: Xu, Tiantian; Sun, Huazhi; Han, Guangjie; Ma, Chunmei; Jiang, Lifen 收藏 \| 浏览/下载：33/0 \| 提交时间：2019/12/02 Charging (batteries) Decision trees Electric automobiles Mobile ad hoc networks Sensor networks Smart city, Battery capacity Deployment models Electric vehicle charging Low-carbon emissions Prediction model Random forest algorithm Random forests Users' experiences, Piles
	Fast low-dose computed tomography image super-resolution reconstruction via sparse coding and random forests 会议论文作者: Gu, Peijian; Zheng, Lin 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/05
	Prediction of grades of ship collision accidents based on random forests and Bayesian networks 会议论文作者: Tang, Li; Tang, Yuheng; Zhang, Kai; Du, Lin; Wang, Min 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/05
	Condition Monitoring for Wind Turbine Pitch System Using Multi-parameter Health Indicator 会议论文 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2018-11-06 作者: Yang, C.; Qian, Z.; Pei, Y. 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/30 Alarm systems Cost reduction Data acquisition Decision trees Failure analysis Health Maintenance Wind power Wind turbines Condition based maintenance Health indicators Maintenance strategies Operation and maintenance pitch system Random forests Regression-based model Supervisory control and data acquisition Condition monitoring
	Anomaly Detection for Videos of Crowded Scenes based on Optical Flow Information 会议论文 ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics 作者: Gao, Y.; Cao, H.; Xu, S.; Zhang, J.; Ning, X. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Atoms Decision trees Forestry Optical flows Robotics Anomaly detection methods Classification results Flow informations Random forests Spatial-temporal features Statistical distribution Temporal relationships Weight coefficients Anomaly detection
	Anomaly Detection for Videos of Crowded Scenes based on Optical Flow Information 会议论文作者: Gao, Yuan; Cao, Hui; Xu, Shuo; Zhang, Jie; Ning, Xiaolin 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/19 weighted random forests spatial-temporal feature optical flow information Anomaly detection
	An Effective Model Between Mobile Phone Usage and P2P Default Behavior 会议论文作者: Liu, Huan; Ma, Lin; Zhao, Xi; Zou, Jianhua 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/19 Default behavior Default risk Evaluation metrics Joint decisions Light gradients Mobile carriers Mobile phone usages Random forests
	Prediction of days in hospital for children using random forest 会议论文作者: Wang, Chenguang; Dong, Xueling; Yu, Limin; Ye, Lishan; Zhuang, Weifen 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/11/26 Bagging method Days in hospitals Hospital information systems Personal information Predictive accuracy Random forest algorithm Random forest methods Random forests

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