首先，为提高疲劳实时检测的有效性，提出一种基于贝叶斯网络信息融合的机车司机驾驶疲劳监测机制。
Firstly, to improve the effectiveness of real-time fatigue detection, a locomotive driver fatigue monitoring mechanism based on bayesian network information fusion is proposed.
针对油藏分布预测的问题，提出了一个贝叶斯网络融合模型并设计了相应的算法。
Bayesian fusion model is put foreword with a corresponding algorithm designed to forecast the oil reservoir distribution.
最后提出一种改进的贝叶斯算法融合多视觉信息来估计驾驶员的疲劳程度。
Finally, we propose an improved Bayesian algorithm to estimate driver's fatigue over integration of visual information.
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