Use of time series MODIS Leaf Area Index data to monitor temperate forest

Liang et.al, Non-intrusive detection of driver cognitive distraction in real time using Bayesian networks , Transportation Research Record: Journal of the Transportation Research

Proceedings of EMEA 2005 in Kanazawa, 2005 International Symposium on Environmental Monitoring in East Asia ‑Remote Sensing and Forests‑.

Here, we propose a method for extracting the most similar subsequences of two time series data by quantizing the data and then using homology search to determine similar regions

Technical analysis is used to distinguish the range price and the trend price from the slope of the moving average line, and to improve the prediction accuracy of the

”Same Interval Retrieval from Time-Sequence Data Based on Active Search : Reference Interval- Free Time : Series Active Search (RIFAS)”,The transactions of the Institute

Numbers of parameters for each metabolite are 8 for shikimic acid, 10 for phenyl pyruvate, 6 for phenylalanine, and 4 for phenyl lactate because a model of a reaction

dateClusterParameters, where we update the cluster parameters by solving the Toeplitz graphical lasso problem using an algorithm based on the alternating direction method