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Publication Samples

Robotics and Control Related Topics

  1. D. Zhu, S. X. Yang: (In press) A bio-inspired neural network-based optimal path planning for UUVs under the effect of ocean currents. IEEE Transactions on Intelligent Vehicles. DOI: 10.1109/TIV.2021.3082151
  2. Y. Wang, M. Hu, C. Yang, N. Li, J. Zhang, Q. Li, G. Zhai, S. X. Yang, X.-P. Zhang and X. Yang: (In press) Respiratory consultant by your side: affordable and remote intelligent respiratory rate and respiratory pattern monitoring system. IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2021.3073049
  3. L. Yang, Y. Lu, S. X. Yang, Y. Zhong, T. Guo and Z. Liang: (In press) An evolutionary game based secure clustering protocol with fuzzy trust evaluation and outlier detection for wireless sensor networks. IEEE Sensors Journal. DOI: 10.1109/JSEN.2021.3070689
  4. Y. Chen, M. Hu, C. Hua, G. Zhai, J. Zhang, Q. Li and S. X. Yang: (In press) Face mask assistant: detection of face mask service stage based on moile phone. IEEE Sensors Journal. DOI: 10.1109/JSEN.2021.3061178
  5. D. Zhu, X. Cheng, L. Yang, Y. Chen and S. X. Yang: (In press) Information fusion fault diagnosis method for deep-sea human occupied vehicle thruster based on deep belief network. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2021.3055770
  6. F. Shi, S. X. Yang, X. Tuo, L. Ran and Y. Huang: (In press) A novel rapid-flooding approach with real-time delay compensation for wireless sensor network time synchronization. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2020.2987758
  7. Y. Tian, H. Yan, H. Zhang, S. X. Yang and Z. Li: (In press) Observed-based finite-time control of nonlinear semi-Markovian jump systems with saturation constraint. IEEE Transactions on Systems, Man, and Cybernetics: Systems. DOI: 10.1109/TSMC.2019.2962318
  8. D. Zhu, B. Zhou and S. X. Yang: (2021) A novel algorithm of multi-AUVs task assignment and path planning based on biologically inspired neural network map. IEEE Transactions on Intelligent Vehicles. Vol. 6, No. 2, pp. 333-342.
  9. Z. Ren, S. X. Yang, Q. Sun and T. Wang: (2021) Consensus affinity graph learning for multiple kernel clustering. IEEE Transactions on Cybernetics. Vol. 51, No. 6, pp. 3273-3284.
  10. L. Yang, Y. Lu, S. X. Yang, T. Guo and Z. Liang: (2021) A secure clustering protocol with fuzzy trust evaluation and outlier detection for industrial wireless sensor networks. IEEE Transactions on Industrial Informatics. Vol. 7, No. 7, pp. 4837-4847.
  11. Y. Ma, X. Wu, S. X. Yang, C. Dang, D.-X. Liu, C. Wang, C. Wang and C. Chen: (2021) Online gait planning of lower-limb exoskeleton robot for paraplegic rehabilitation considering COG transfer process. IEEE Transactions on Automation Science and Engineering. Vol. 18, No. 2, pp. 414-425.
  12. P. Liu, B. Fu, S. X. Yang, L. Deng, X. Zhong and H. Zheng: (2021) Optimizing survival analysis of XGBoost for ties to predict disease progression of breast cancer. IEEE Transactions on Biomedical Engineering. Vol. 68, No. 1, pp. 148-160.
  13. J. Ni, X. Wang, M. Tang, W. Cao and S. X. Yang: (2020) An improved real-time path planning method based on dragonfly algorithm for heterogeneous multi-robot system. IEEE Access. Vol. 8, pp. 140558-140568
  14. N. Lashkari, M. Biglarbegian and S. X. Yang: (2020) Development of a novel robust control method for formation of heterogeneous multiple mobile robots with autonomous docking capability. IEEE Transactions on Automation Science and Engineering. Vol. 17, No. 4, pp. 1759-1776.
  15. F. Shi, H. Li, S. X. Yang, X. Tuo and M. Li: (2020) Novel maximum likelihood estimation of clock skew in one-way broadcast time synchronization. IEEE Transactions on Industrial Electronics. Vol. 67, No. 11, pp. 9948-9957.
  16. Z. Xu, S. X. Yang and S. A. Gadsden: (2020) Enhanced bioinspired backstepping control for a mobile robot with unscented kalman filter. IEEE Access. Vol. 8, pp. 125899-125908.
  17. J. Ni, G. Tang, Z. Mo, W. Cao and S. X. Yang: (2020) An improved potential game theory based method for multi-UAV cooperative search. IEEE Access. Vol. 8, pp. 47787-47796
  18. F. Shi, X. Tuo, L. Ran, Z. Ren and S. X. Yang: (2020) Fast convergence time synchronization in wireless sensor networks based on average consensus. IEEE Transactions on Industrial Informatics. Vol. 16, No. 2, pp. 1120-1129 .
  19. F. Shi, X. Tuo, S. X. Yang, J. Lu and H. Li: (2020) Rapid-flooding time synchronization for large-scale wireless sensor networks. IEEE Transactions on Industrial Informatics. Vol. 16, No. 3, pp. 1581-1590 .
  20. J. Liu, T. Xu, S. X. Yang and X. Wu: (2020) Navigation and visual feedback control for magnetically driven helical miniature swimmers. IEEE Transactions on Industrial Informatics. Vol. 16, No. 1, pp. 477-487.
  21. M. Luo, X. Hou and S. X. Yang: (2019) A multi-scale map method based on bioinspired neural network algorithm for robot path planning. IEEE Access. Vol. 7, pp. 142682-142691.
  22. P. Liu, B. Fu and S. X. Yang: (2019) HitBoost: Survival analysis via a multi-output gradient boosting decision tree method. IEEE Access. Vol. 7, pp. 56785 –56795.
  23. H. Sun, F. Tian, Z. Liang, T. Sun, B. Yu, S. X. Yang, Q. He, L. Zhang and X. Liu: (2017) Sensor array optimization of electronic nose for detection of bacteria in wound infection. IEEE Transactions on Industrial Electronics. Vol. 64, No. 9, pp. 7350-7358 .
  24. N. Lashkari, M. Biglarbegian and S. X. Yang: (2017) Development of a new robust controller with velocity estimator for docked mobile robots: theory and experiments. IEEE/ASME Transactions on Mechatronics. Vol. 22, No. 3, pp. 1287-1298 .
  25. C. Zhang, Z. Lin, S. X. Yang and J. He: (2017) Total-amount synchronous control based on terminal sliding-mode control. IEEE Access. Vol. 5, pp. 5436-5444.
  26. Z. Chu, D. Zhu and S. X. Yang: (2017) Observer-based adaptive neural network trajectory tracking control for remotely operated vehicles. IEEE Transactions on Neural Networks and Learning Systems. Vol. 28, No. 7, pp. 1633-1645.
  27. C. Luo, S. X. Yang, X. Li, M. Q.-H. Meng: (2017) Neural dynamics driven complete area coverage navigation through cooperation of multiple mobile robots. IEEE Transactions on Industrial Electronics. Vol. 64, No. 1, pp. 750-760.
  28. G. Huo, S. X. Yang, Q. Li and Y. Zhou: (2017) A robust and fast method for sidescan sonar image segmentation using nonlocal despeckling and active contour model. IEEE Transactions on Cybernetics. Vol. 47, No. 4, pp. 855-872.
  29. X. Yi, A. Zhu, S. X. Yang and C. Luo: (2017) A bio-inspired approach to task assignment of swarm robots in 3-D dynamic environments. IEEE Transactions on Cybernetics.Vol. 47, No. 4, pp. 974-983.
  30. X. Cao, D. Zhu and S. X. Yang: (2016) Multi-AUV target search based on bioinspired neurodynamics model in three-dimensional underwater environments. IEEE Transactions on Neural Networks and Learning Systems. Vol. 27, No. 11, pp. 2364-2374.
  31. C. Zhong, S. Liu, Q. Lu, B. Zhang and S. X. Yang: (2016) An efficient fine-to-coarse wayfinding strategy for robot navigation in regionalized environments. IEEE Transactions on Cybernetics. Vol. 46, No. 12, pp. 3157-3170.
  32. W. Dai, T. Chai and S. X. Yang: (2015) Data-driven optimization control for safety operation of hematite grinding process. IEEE Transactions on Industrial Electronics. Vol. 62, No. 5, pp. 2930 – 2941.
  33. H. Sun, D. Zhu and S. X. Yang: (2014) A bio-inspired filtered backstepping tracking control of 7000m manned submarine vehicle. IEEE Transactions on Industrial Electronics. Vol. 61, No. 7, pp. 3682-3693.
  34. J. Ni, M. Liu, L. Ren and S. X. Yang: (2014) A multi-agent Q-learning based optimal allocation approach for urban water resource management system. IEEE Transactions on Automation Science and Engineering. Vol. 11, No. 1, pp. 204-214.
  35. H. Qu, Z. Yi and S. X. Yang: (2013) Efficient shortest path tree computation in network routing based on pulse coupled neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B. Vol. 43, No. 3, pp. 995-1010
  36. D. Zhu, Y. Huang and S. X. Yang: (2013) Dynamic task assignment and path planning of multi-AUV system based on an improved self-organizing map and velocity synthesis method in three-dimensional underwater workspace. IEEE Transactions on Cybernetics. Vol. 43, No. 2, pp. 504-514.
  37. Y. Cai and S. X. Yang: (2013) An improved PSO-based approach with dynamic parameter tuning for cooperative multi-robot target searching in complex unknown environments. International Journal of Control. Vol. 86, No. 10, 1720-1732.
  38. J. Ni, C. Zhang, L. Ren and S. X. Yang: (2012) Abrupt event monitoring for eater environmental system based on KPCA and SVM. IEEE Transactions on Instrumentation and Measurement. Vol. 61, No. 4, pp. 980-989.
  39. S. X. Yang, A. Zhu, G. Yuan and M. Q.-H. Meng: (2012) A bioinspired neurodynamics based approach to tracking control of mobile robots. IEEE Transactions on Industrial Electronics. Vol. 59, No. 8, pp. 3211-3220
  40. J. Ni and S. X. Yang: (2011) A bioinspired neural network for real-time cooperative hunting by multi-robots in unknown environments. IEEE Transactions on Neural Networks. Vol. 22, No. 12, pp. 2062-2077.
  41. X. Xu, C. Liu, S. X. Yang and D. Hu: (2011) Hierarchical approximate policy iteration with binary-tree state space decomposition. IEEE Transactions on Neural Networks. Vol. 22, No. 12, pp. 1863-1877.
  42. J. Ni, C. Zhang and S. X. Yang: (2011) An adaptive approach based on KPCA and SWM for real-time fault diagnosis of HVCBs. IEEE Transactions on Power Delivery. Vol. 26, No. 3, pp. 1960-1971.
  43. H. Qu, S. X. Yang, A. Willms and Z. Yi: (2009) Real-time robot path planning based on a modified pulse coupled neural network model. IEEE Transactions on Neural Networks. Vol. 20, No. 11, pp. 1724-1739.
  44. B. Fu, S. X. Yang, J. Li and D. Hu: (2009) Multi-biometric cryptosystem: model structure and performance analysis. IEEE Transactions on Information Forensics and Security. Vol. 4, No. 4, pp. 867-882.
  45. H. Li, S. X. Yang and M. L. Seto: (2009) Neural network based path planning for a multi-robot system with moving obstacles. IEEE Transactions on Systems, Man, and Cybernetics, Part C. Vol. 39, No. 4, pp. 410-419.
  46. L. Pan and S. X. Yang: (2009) An electronic nose network system for online monitoring livestock farm odors. IEEE Transactions on Mechatronics. Vol. 14, No. 3, pp. 371-376.
  47. X.-Z. Lai, J.-H. She, S. X. Yang and M. Wu.: (2009) Comprehensive unified control strategy for underactuated two-link manipulators. IEEE Transactions on Systems, Man, and Cybernetics, Part B. Vol. 57, No. 2, pp. 202-211.
  48. C. Luo and S. X. Yang: (2008) A bioinspired neural network for real-time concurrent map building and complete coverage robot navigation in unknown environments. IEEE Transactions on Neural Networks. Vol. 19, No. 7, pp. 1279-1298.
  49. A. Willms and S. X. Yang: (2008) Real-time robot path planning via a distance-propagating dynamic system with obstacle clearance. IEEE Transactions on Systems, Man, and Cybernetics, Part B. Vol. 38, No. 3, pp. 884-893.
  50. X. Lai, J.-H. She, S. X. Yang and M. Wu.: (2008) Control design and comprehensive stability analysis of acrobots based on non-smooth Lyapunov function. IET Control Theory and Applications. Vol. 2, No. 3, pp. 181-191.
  51. A. Zhu and S. X. Yang: (2007) Neurofuzzy-based approach to mobile robot navigation in unknown environments. IEEE Transactions on Systems, Man, and Cybernetics, Part C. Vol. 37, No. 4, pp. 610-621.
  52. X. Yuan and S. X. Yang: (2007) Multi-robot-based nanoassembly planning with automated path generation. IEEE Transactions on Mechatronics. Vol. 12, No. 2, pp. 352-356.
  53. F.-Y. Wang, D. Liu, S. X. Yang and L. Li: (2007) Networking, sensing, and control for networked control systems: architectures, algorithms, and applications. IEEE Transactions on Systems, Man, and Cybernetics, Part C. Vol. 37, No. 2, pp. 157-159.
  54. A. R. Willms and S. X. Yang: (2006) An efficient dynamic system for real-time robot path planning. IEEE Transactions on Systems, Man and Cybernetics, Part B. Vol. 36, No. 4, pp. 755-766.
  55. A. Zhu and S. X. Yang: (2006) A neural network approach to task assignment of multi-robots. IEEE Transactions on Neural Networks. Vol. 17, No. 5, pp. 1278-1287.
  56. F. Wang, S. Jusoh and S. X. Yang: (2006) A collaborative behavior based approach for handling ambiguity, uncertainty, and vagueness in robot natural language interfaces. Engineering Applications of Artificial Intelligence. Vol. 19, No. 8, pp. 939-951.
  57. G.-P. Cai and S. X. Yang: (2006) A discrete optimal control method for a flexible cantilever beam with time delay. Journal of Vibration and Control. Vol. 12, No. 5, pp. 509-526.
  58. A. Zhu and S. X. Yang: (2006) A SOM-based multi-agent architecture for multi-robot systems. International Journal of Robotics and Automation. Vol. 21, No. 2, pp. 91-99
  59. P. X. Liu, M. Q.-H. Meng, P. R. Liu and S. X. Yang: (2005) An end-to-end data transmission architecture for the remote control of robots over IP networks. IEEE/ASME Transactions on Mechatronics. Vol. 10, No. 5, pp. 560-570.
  60. G.-P. Cai, J.-Z. Hong and S. X. Yang: (2005) Dynamic analysis of a flexible hub-beam system with tip mass. Mechanics Research Communications. Vol. 32, No. 2, pp. 173-190.
  61. S. X. Yang, H. Li, M. Q.-H. Meng and P. X. Liu: (2004) An embedded fuzzy controller for a behavior-based mobile robot with guaranteed performance. IEEE Transactions on Fuzzy Systems. Vol. 12, No. 4, pp. 436- 446.
  62. S. X. Yang and C. Luo: (2004) A neural network approach to complete coverage path planning. IEEE Transactions on Systems, Man, and Cybernetics, Part B. Vol. 34, No. 1, pp. 718-725.
  63. Y. X. Su, S. X. Yang, Dong Sun and B. Y. Duan: (2004) A simple hybrid fuzzy PD controller. Mechatronics. Vol. 14, No. 8, pp. 877-890.
  64. G.-P. Cai, J.-Z. Hong and S. X. Yang: (2004) Model study and active control of a rotating flexible cantilever beam. International Journal of Mechanical Sciences. Vol. 46, No. 6, pp. 871-889.
  65. S. X. Yang and M. Q.-H. Meng: (2003) Real-time collision-free motion planning of mobile robots using neural dynamics based approaches. IEEE Transactions on Neural Networks. Vol. 14, Nov. 6, pp. 1541-1552.
  66. H. Li and S. X. Yang: (2003) A behavior-based mobile robot with a visual landmark recognition system. IEEE/ASME Transactions on Mechatronics. Vol. 10, No. 5, pp. 695-708.
  67. X. Yuan and S. X. Yang: (2003) Virtual assembly with biologically inspired intelligence. IEEE Transactions on Systems, Man, and Cybernetics, Part C. Vol. 33, No. 2, pp. 159-167.
  68. P. X. Liu, M. Q.-H. Meng and S. X. Yang: (2003) Data communications for Internet robotics. Autonomous Robotics. Nov. 15, No. 3, pp. 213-223.
  69. S. X. Yang and M. Meng: (2001) Neural network approaches to dynamic collision-free trajectory generation. IEEE Transactions on Systems, Man, and Cybernetics, Part B. Vol. 31, No. 3, pp. 302-318.
  70. S. X. Yang and M. Meng: (2000) An efficient neural network method for real-time motion planning with safety consideration. Robotics and Autonomous Systems. Vol. 32, No. 2-3, pp. 115-128.
  71. S. X. Yang and M. Meng: (2000) An efficient neural network approach to dynamic robot motion planning. Neural Networks. Vol. 13, No. 2, pp. 143-148.

Intelligent Systems Related Topics

  1. J. Wu and S. X. Yang: (2019) Intelligent control of bulk tobacco curing schedule using LS-SVM- and ANFIS-based multi-sensor data fusion approaches. Sensors. Vol. 19, No. 8, Paper 1778.
  2. Z. Zhao, M. Jin, C. Tian and S. X. Yang: (2018) Prediction of seed distribution in rectangular vibrating tray using grey model and artificial neural network. Biosystems Engineering. Vol. 175, pp. 194-205.
  3. Z. Zhao, H. Huang, J. Yin and S. X. Yang: (2018) Dynamic analysis and reliability design of round baler feeding device for rice straw harvest. Biosystems Engineering. Vol. 174, pp. 10-19.
  4. J. Wu, S. X. Yang and F. Tian: (2017) An adaptive neuro-fuzzy approach to bulk tobacco flue-curing control process. Drying Technology. Vol. 35, No. 4, pp. 465-477.
  5. W. Zhang, H. Ma and S. X. Yang: (2016) An inexpensive, stable, and accurate relative humidity measurement method for challenging environments. Sensors. Vol. 16, No. 3, Paper 398.
  6. F. Tian, J. Zhang, S. X. Yang, Z. Zhao, Z. Liang, Y. Liu and D. Wang: (2016) Suppression of strong background inference on e-nose sensors in an open country environment. Sensors. Vol. 16, No. 2, Paper 233. doi: 10.3390/s16020233.
  7. C. Liu, S. X. Yang and L. Deng: (2015) A comparative study for least angle regression on NIR spectra analysis to determine internal qualities of navel oranges. Expert Systems with Applications. Vol. 42, No. 12, pp. 8497-8503.
  8. C. Liu, S. X. Yang and L. Deng: (2015) Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning. Journal of Food Engineering. Vol. 21, No. 3, pp. 265-267.
  9. W. Zhang, H. Ma and S. X. Yang: (2015) A neuro-fuzzy decoupling approach for real-time drying room control in meat manufacturing. Expert Systems with Applications. Vol. 42, No. 3, pp. 1039-1049, Feb. 2015.
  10. W. Feng, S. X. Yang and H. Wu: (2015) Further results on robust stability of bidirectional associative memory neural networks with norm-bounded uncertainties. Neurocomputing. Vol. 148, pp: 535-543.
  11. Z. Liu, H. Yin, Y. Chai and S. X. Yang: (2014) A novel approach for multimodal medical image fusion. Expert Systems with Applications. Vol. 41, No. 16, pp. 7425–7435.
  12. P. Jia, F. Tian, Q. He, S. Fan, J. Liu and S. X. Yang: (2014) Feature extraction of wound infection data for electronic nose based on a novel weighted KPCA. Sensors and Actuators B: Chemical. Vol. 201, pp. 555-566.
  13. J. Wu, S. X. Yang and F. Tian: (2014) A novel intelligent control system for flue-curing barns based on real-time image features. Biosystems Engineering. Vol. 123, pp. 77-90.
  14. X. Chen and S. X. Yang: (2013) A practical solution for ripe tomato recognition and localisation. Journal of Real-time Image Processing. Vol. 8, No. 1, pp. 35-51.
  15. D. Hu, S. X. Yang, S. Gregori, J. Li and B. Fu: (2012) Image segmentation based on trickle-up and trickle-down visual pathway in primate. Journal of Computational Information. Vol. 8, No. 9, pp. 3757-3765.
  16. H. Yin, Y. Chai, S. X. Yang and G. S. Mittal: (2011) Ripe tomato detection for harvesting robot vision systems in Greenhouses. Transactions of the ASABE (American Society of Agricultural and Biological Engineering). Vol. 22, No. 4, pp. 587-592.
  17. L. Qin and S. X. Yang: (2011) An adaptive neuro-fuzzy approach to risk factor analysis of Salmonella Typhimurium infection. Applied Soft Computing. Vol. 11, No. 8, pp. 4875-4882.
  18. S. Xue and S. X. Yang: (2009) Power system frequency estimation using supervised Gauss-Newton algorithm. Measurement. Vol. 42, No. 1, pp. 28-37.
  19. W. Feng, S. X. Yang, W. Fu and H. Wu: (2009) Robust stability analysis of uncertain stochastic neural networks with interval time-varying delay. Chaos, Solitions and Fractals. Vol. 41, No. 1, pp. 414-424.
  20. L. Pan, L. Qin, S. X. Yang and J. Shuai: (2008) A neural network based method for risk factor analysis of West Nile Nirus. Journal of Risk Analysis: An International Journal. Vol. 28, No. 2, pp. 487-496.
  21. L. Pan and S. X. Yang: (2007) An new intelligent electronic nose for measuring and analyzing livestock and poultry farm odours. Environmental Monitoring and Assessment.Vol. 135, No. 1-3, pp. 399-408.
  22. L. Pan and S. X. Yang: (2007) Analyzing livestock farm odour using an adaptive neuro-fuzzy approach. Biosystems Engineering. Vol. 97, No. 3, pp. 387-393.
  23. H. Qin and S. X. Yang: (2007) Adaptive neuro-fuzzy inference systems based approach to nonlinear noise cancellation for images. Fuzzy Sets and Systems. Vol. 158, No. 10, pp. 1036-1063.
  24. L. Pan, S. X. Yang, and J. DeBruyn: (2007) factor analysis of downwind odours from livestock farms. Biosystems Engineering. Vol. 96, No. 3, pp. 387-397.
  25. L. Pan, S. X. Yang, L. Otten and R. R. Hacker: (2006) Component and factor analysis of pork farm odour using structural learning with forgetting method. Biosystems Engineering. Vol. 94, No. 1, pp. 85-93.
  26. C. Yu, V. Davidson and S. X. Yang: (2006) A neural network approach to predict survival/death and growth/no-growth interfaces for Escherichia coli O157:H7. Food Microbiology. Vol. 23, No. 6, pp. 552-560.
  27. K. R. Janes, S. X. Yang and R. R. Hacker: (2005) Pork farm odour modelling using multiple-component multiple-factor analysis and neural networks. Applied Soft Computing. Vol. 6, No. 1, pp. 53- 61.
  28. H. Qin and S. X. Yang: (2005) Nonlinear noise cancellation for image with adaptive neuro-fuzzy inference systems. Electronics Letters. Vol. 41, No. 8, pp. 474- 475.
  29. F. Tian, S. X. Yang and K. Dong: (2005) Circuit and noise analysis of odorant gas sensors in an e-nose. Sensors. Vol. 5, No. 1-2, pp. 85-96.
  30. X. Yu and S. X. Yang: (2005) A study of motion recognition from video sequence. Computing and Visualization in Science. Vol. 8, No. 1, pp. 19-25.
  31. C. He, S. X. Yang and X. Huang: (2004) A novel progressive decoding method for fractal image compression. IEE Proceedings – Vision, Image and Signal Processing. Vol. 151, No. 3, pp. 207-214.
  32. C. He, S. X. Yang and X. Xue: (2004) Fast fractal image compression based on one-norm of normalised block. IEE Electronics Letters. Vol. 40, No. 17, pp. 1052-1053.
  33. C. He, S. X. Yang and X. Huang: (2004) Variance-based accelerating scheme for fractal image coding. IEE Electronics Letters. Vol. 40, No. 2, pp. 115- 116.
  34. K. R. Janes, S. X. Yang and R. R. Hacker: (2004) Single component modelling of pig farm odour with statistical methods and neural networks. Biosystems Engineering. Vol. 88, No. 3, pp. 271-279
  35. S. X. Yang, H. Ogmen and G. Maguire: (2003) Neural computations in tiger salamander and mudpuppy retinae and an analysis of GABA actions from horizontal cells. Biological Cybernetics. Vol. 88, No. 6, pp. 450-458.
  36. H. Li and S. X. Yang: (2003) Modelling of supercritical fluid extraction by hybrid Peng-Robinson equation of state and genetic algorithms. Biosystems Engineering. Nov. 86, No. 1, pp. 17-25,
  37. S. X. Yang: (2003) A neural network model for dose-response of foodborne pathogens. Applied Soft Computing. Vol. 3, No. 2, pp. 85-96.
  38. Q. Zhang, S. X. Yang, G. S. Mittal and S. Yi: (2002) Prediction of performance indices and optimal parameters of rough rice drying using neural networks. Biosystems Engineering. Vol. 83, No. 3, pp. 281-290.