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期刊论文
来源: | 作者:pmtb50a57 | 发布时间: 2018-01-11 | 631 次浏览 | 分享到:

[1] Song Y, He B, Zhao Y, et al. Segmentation of Sidescan Sonar Imagery Using Markov Random Fields and Extreme Learning Machine[J]. IEEE Journal of Oceanic Engineering, 2018.
[2] Guo J, He B, Duan H. Intelligent assistance positioning methodology based on modified iSAM for AUV using low-cost sensors[J]. Ocean Engineering, 2018, 152: 36-46.
[3] Wan J H, He B, Shen Y, et al. Heading multi-mode control based on soft-switching for autonomous underwater vehicle[J]. Ocean Engineering, 2018, 164: 672-682.
[4] Guo J, He B, Sha Q, et al. Shallow-sea application of an intelligent fusion module for low-cost sensors in AUV[J]. Ocean Engineering, 2018: 386-400.
[5] Song Y, Zhang S, He B, et al. Gaussian derivative models and ensemble extreme learning machine for texture image classification[J]. Neurocomputing, 2017, 277.
[6] Ping Qin, Stefan G.H. Simis, Gavin H. Tilstone, Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC. Remote Sensing of Environment, Volume 200, October 2017, Pages 263-280
[7] Chen Feng, Bo He,Construction of complex networks from time series based on the cross correlation interval,Open Phys. 2017;15:253–260
[8] Dong X, He B, Dong X, et al. Monocular visual-IMU odometry using multi-channel image patch exemplars[J]. Multimedia Tools and Applications, 2017, 76(9): 11975-12003.
[9] He, B.*, Sun, T., Yan, T. et al. A pruning ensemble model of extreme learning machine with 1/2 regularizer, Multidim Syst Sign Process. doi:10.1007/s11045-016-0437-9,2016 (SCI)
[10] Shen, Y, B. He, and P. Qin. Fractional-Order Grey Prediction Method for Non-Equidistant Sequences. Entropy, 2016, 18(6): 227-743.(SCI).
[11] Yang X, Shen Y*, Wang K, et al. Path following for an autonomous underwater vehicle using GP-LOS[C], Oceans. 2016:1-5. (EI)
[12] Wang Y, Shen Y*, Wang K, et al. Fuzzy controller used smoothing function for depth control of autonomous underwater vehicle[C], Oceans. IEEE, 2016:1-5. (EI)
[13] Qian Wang, Weiguo Wang, Rui Nian*, Bo He, Yue Shen, Kaj-Mikael Björk, Amaury Lendasse. Manifold learning in local tangent space via extreme learning machine. Neurocomputing, 2016, 174: 18-30.
[14] Shen, Y, et al. Autonomous Navigation Based on SEIF with Consistency Constraint for C-Ranger AUV. Mathematical Problems in Engineering, 2015, 3:1-12. (SCI).
[15] Bo He*, Lulu Ying, Shujing Zhang, Xiao Feng, Tianhong Yan, Rui Nian, Yue Shen, Autonomous navigation based on unscented-FastSLAM using particle swarm optimization for autonomous underwater vehicles, Measurement, 71(2015):89-101. (SCI)
[16] Bo Han, Bo He*, Tingting Sun, Tianhong Yan, Mengmeng Ma,Yue Shen, Amaury Lendasse, HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection, Neural Computation and Applications, 2015,DOI 10.1007/s00521-015-1907-y. (SCI)
[17] Yang Liu, Bo He*, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, and Amaury Lendasse, Particle Swarm Optimization based Selective Ensemble of Online Sequential Extreme Learning Machine, Mathematical Problems in Engineering, Volume 2015 (2015), in press, 12 pages (SCI)
[18] Chen Feng,Haiyong Zheng,Lijian Zhou,Junna Cheng,Detection performance analysis of recurrence quantification analysis measures for low observable target within sea clutter under different sea conditions,IET Radar Sonar and Navigation,2015.4.01,9(4):447~456  
[19] 冯 晨,姬光荣,程军娜,基于递归定量分析的实测海杂波中的小目标检测,中国海洋大学学报(自然科学版),2014.11.15,44(11):106~113
[20]  Bo Han, Bo He*, Mengmeng Ma, Tingting Sun, Tianhong Yan, and Amaury Lendasse, Mathematical Problems in Engineering, RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement, Mathematical Problems in Engineering,Volume 2014 (2014), Article ID 395686, 12 pages (SCI)
[21]  R. Nian, B. He*, ROV-based Underwater Vision System for Intelligent Fish Ethology Research, International Journal of Advanced Robotic Systems, Vol,13(10), 2013. ( SCI)
[22]  Bo Han, Bo He*. LARSEN-ELM: Selective Ensemble of Extreme Learning Machines using LARS for Blended Data, Neurocomputing, 2014 ( SCI)
[23]  Rui Nian, Bo HE*, Extreme Learning Machine towards Dynamic Model Hypothesis in Fish Ethology Research, Neurocomputing, 2014 ( SCI)
[24]  Shujing Zhang, Bo He*, Lulu Ying, Minghui Li and Guang Yuan. Autonomous Navigation with Constrained Consistency for C-Ranger. International Journal of Advanced Robotic Systems, 2014, 11:84. doi: 10.5772/58582. (SCI)
[25]  Shujing Zhang, Bo He*, Fast Face Recognition Via Sparse Coding and Extreme Learning Machine, Cognitive Computation,2014 ( SCI)
[26]  Rui Nian, Bo He*, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse, Extreme learning machine towards dynamic model hypothesis in fish ethology research. Neurocomputing, 2014. ( SCI)
[27] 秦平,肖艳芳,崔廷伟等. 主流的透明度半分析反演算法在渤、黄海的适用性评价. 激光生物学报. 2014, 23 (06):516-522
[28] 秦平, 沈钺, 牟冰等. 基于进化建模方法的HJ-1CCD黄海悬浮物和叶绿素a浓度遥感反演模型研究.海洋学报, 2014,36(11): 142- 149
[29] Rui Nian, Bo He*, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse. Extreme learning machine towards dynamic model hypothesis in fish ethology research. Neurocomputing, 2014, 128, pp.273-284.
[30] Bo He, Dongxun Xu, Rui Nian*, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse. Fast face recognition via sparse coding and extreme learning machine. Cognitive Computation, 2014, 6(2), pp.264-277.
[31] Rui Nian, Fang Liu, Bo He*. An Early Underwater Artificial Vision Model in Ocean Investigations via Independent Component Analysis. Sensors, 2013, vol13.7, pp.9104-9131.
[32]  Rui Nian, Bo He, Jia Yu, Zhenmin Bao, Yangfan Wang*. ROV-based Underwater Vision System for Intelligent Fish Ethology Research. International Journal of Advanced Robotic Systems. Variations, 2013, 19: 20.
[33]  Rui Nian, Bo He*, Amaury Lendasse. 3D object recognition based on a geometrical topology model and extreme learning machine. Neural Computing and Applications, 2013, 22(3-4): 427-433.
[34] R. Nian, F. Liu, B. He*. An Early Underwater Artificial Vision Model in Ocean Investigation via Independent Component Analysis. Sensors. 2013; 13(7):9104-9131. ( SCI)
[35] Qi Yu, Mark van Heeswijk, Yoan Miche, Rui Nian, Bo He, Eric Séverin and Amaury Lendasse. Ensemble Delta Test- Extreme Learning Machine (DT-ELM) For Regression, In Neurocomputing. 2014, Available online 29 October 2013. ( SCI)
[36] B. He*, B.Wang, T. Yan and Y. Han, A distributed parallel motion control for the multi-thruster autonomous underwater vehicle, Mechanics Based Design of Structures and Machines, 41(), pp236-257, 2013. (SCI)
[37] Bo He, Dongxun Xu, Rui Nian*, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse, Fast face recognition via sparse coding and extreme learning machine, Cognitive Computation, 2013, ( SCI)  
[38]  Rui Nian, Bo He*, Lendasse, Amaury,3D object recognition based on a geometrical topology model and extreme learning machine,Neural Computing and Applications, 22(3-4), pp427-433, 2013. ( SCI)
[39]  T. H. Yan, B. He*, X. D. Chen, and X. S. Xu, The Discrete-Time Sliding Mode Control with Computation Time Delay for Repeatable Run-out Compensation of Hard Disk Drives, Mathematical Problems in Engineering, 2013, pp1-13. (SCI)
[40] Shujing Zhang, Bo He, SLAM and a Novel Loop Closure Detection for Autonomous Underwater Vehicles, IEEE Conf., OCEANS, 2013(EI)
[41] Xiaoyan Jiang, Bo He, Rao-blackwellised Particle Filter SLAM with Consistent Mapping for AUVs, IEEE Conf., OCEANS, 2013(EI)
[42] Shujing Zhang, Bo He*, Xiao Feng, Guang Yuan, ICM:an efficient data association for SLAM in stochastic mapping, International Conference on Control, Automation, Robotics and Vision, December 5-7, 2012, Guangzhou, China (EI). (EI)
[43] B. He*; Y. Liang; X. Feng; R. Nian; T. Yan; M. Li; S. Zhang. AUV SLAM and Experiments Using a Mechanical Scanning Forward-looking Sonar. Sensors, 2012, 12, 9836-9410. ( SCI)
[44] B. He*, H. J. Zhang, C. Li, S. J. Zhang, Y. Liang, T. H. Yan, 2011. Autonomous Navigation for Autonomous Underwater Vehicles Based on Information Filters and Active Sensing. Sensors, 2011, 11(12): 10958-10980. (SCI)
[45]  B. He*, S.J. Zhang, T. H. Yan, T. Zhang, Y. Liang, H. J. Zhang, 2011, A Novel Combined SLAM Based on RBPF-SLAM and EIF-SLAM for Mobile System Sensing in a Large Scale Environment, Sensors, 2011, 11(11): 10197-10219. (SCI)

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