… A unified Bayesian approach for object and situation assessment[J]. IEEE Intelligent … A
real-time driver identification system based on artificial neural networks and cepstral analysis[C]// …

… and Bayesian network, and then are solved through machine … process using only 10 min
in real time. However, model-free … -varying workloads). Here, we summarize some typical RL …

… To attain greater reliability, an incredible amount of repository planning is required, but this
may be at the expense of each of those workloads and a conceptual approach. The method …

… of roadside traffic signs and advertisements using eye tracking[J]. … A hybrid Bayesian network
approach to detect driver … Identification of real-time driver distraction using optimal subband …

… The use of fast fourier transform for the estimation of power spectra: A method based on …
empower online learning platforms to achieve real-time assessment of cognitive load, thereby …

… using data mining modeling technique namely, Naive Bayes or … many machine learning
and data mining methods. The rule (… Staff, with information in real-time to make their work more …

… Han ZY, Weng WG, Zhao QL et al (2013) Investigation on an integrated evacuation route
planning method based on real-time data acquisition for high-rise building fire. IEEE Trans …

… To relieve from high IO workload, we present a lightweight detection method which relies on
… like SVM, naive Bayes and logistic regression for training. These approaches are similar to …

… The average accuracy of our method on our dataset is 82%, … Augmented cognition using
real-time EEG-based adaptive … for cross-device interaction based on eye tracking[J]. Journal of …

资深编委戴国忠, 中国科学院软件研究所董韫美, 中国科学院软件研究所冯玉琳, 中国科学院软件
研究所何新贵, 北京大学李德毅, 电子系统工程研究所李未, 北京航空航天大学林惠民, 中国…