机译:推理传感器实时性能评估的概率框架
Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2G6;
Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2G6;
Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2G6;
Suncor Energy, Fort McMurray, Alberta, Canada;
Syncrude Canada Ltd., Fort McMurray, Alberta, Canada T9H 3L1;
Syncrude Canada Ltd., Fort McMurray, Alberta, Canada T9H 3L1;
Suncor Energy, Fort McMurray, Alberta, Canada;
Inferential sensor; Real-time performance assessment; Bayesian inference; Reliability of predictions;
机译:贝叶斯概率推论框架在河流环境污染源识别中的应用
机译:推理模型:先验后验概率推理的框架
机译:物理/化学传感器阵列和概率神经网络的实时分类性能和故障模式分析
机译:推理传感器的实时性能评估
机译:森林扰动的近实时监测:一种多传感器遥感方法和评估框架
机译:通过推理神经网络评估和验证新生儿培养箱传感器
机译:推理模型:先验自由后验概率推理的框架
机译:pRa(概率风险评估)程序指南:核电厂概率风险评估绩效指南。第2卷。