白玉廷 - Baiyuting
2015.09-2019.06 北京理工大学 控制科学与工程 博士
2012.09-2015.06 云顶娱乐手机登录 管理科学与工程（工学） 硕士
2008.09-2012.07 云顶娱乐手机登录 自动化（工科实验班） 学士
Yuting Bai, born in 1989. He received the Ph.D. degree in control science and engineering from Beijing Institute of Technology, the M.S. degree in management science and engineering from Beijing Technology and Business University, and the B.S. degree in automation from Beijing Technology and Business University. He is now a lecturer in Beijing Technology and Business University. His research mainly covers information fusion, machine learning and decision-making method.
 Spatio-temporal prediction for the monitoring-blind area of industrial atmosphere based on the fusion network[J]. International Journal of Environmental Research and Public Health, 2019, 16(20): 3788.
 Compound autoregressive network for prediction of multivariate time series[J]. Complexity, 2019: 9107167.
 Expert decision support technique for algal bloom governance in urban lakes based on text analysis[J]. Water, 2017, 9(5): 308.
 A novel group decision-making method based on sensor data and fuzzy information[J]. Sensors, 2016, 16(11) :1799.
 Continuous estimation of motion state in GPS/INS integration based on NARX neural network[C]// 37th China Control Conference, 2018: 4179-4184.
 The decision-making system design for the emergence governance of water bloom in reservoirs[C]// 5th International Conference on Environmental Science and Information Application Technology, 2015: 123-127.
 The research of decision-making method for multi-objective in water bloom emergency governance based on Vague set theory[J]. Journal of Computational Information Systems, 2014, 10(5): 2099-2106.
 基于熵权灰关联的水华治理多层次决策方法[J]. 计算机仿真, 2014, (6): 251-255.
 The research of water quality information mining based on Pareto law and information entropy[C]// International Conference on Computer Sciences and Applications, 2013: 723-727.
 Improvements of multihop localization algorithm for wireless sensor networks[J]. IEEE Systems Journal, 2018, (99):1-12.
 Cooperative localization with bounding constraints in mobile wireless sensor networks[J]. IEEE Access, 2018, 6:47011-47025.
 3D reconstruction of pedestrian trajectory with moving direction learning and optimal gait recognition[J]. Complexity, 2018, (4):1-10.
 Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusion[J]. International Journal of Modelling, Identification and Control, 2018, 30(4):261-272.
 Unbiased estimation localization for wireless sensor networks[C]// 30th China Control and Decision Conference, 2018: 6521-6524.
 The application of information retrieval in governance decision of water bloom based on decision tree and CPN neural network[J]. Advanced Materials Research, 2014, 1010: 885-890.