PROBLEM TO BE SOLVED: To provide a device which simplifies an analytical algorithm and which enables a doctor to get a result of an automatic analysis within an extremely short time.QUENET BRIGITTEブリジット クネットFAISANDIER YVESイブ フェサンディエ...
According to information to be extracted from the overview contrast image, an image evaluation algorithm is selected by means of which the information is extracted.Daniel HAASEThomas OHRTMarkus STICKER
The algorithm also automatically computes the binaural hearing impairment based on test results from prior testing of the person. Any significant shift in threshold is determined by comparison with the prior test results. The audiometric testing system includes a printer which prints the persons' ...
A detailed description of the algorithm for the generalization of movement data in V-Analytics can be found in [14,43]. The aggregation algorithm in V-Analytics comprises the following steps: ISPRS Int. J. Geo-Inf. 2017, 6, 302 8 of 23 of the algorithm for the generalization of movement...
2. Random Forest Model The random forest (RF) model is a machine learning algorithm based on classification trees proposed by Breiman and Adele in 2001 [76]. Compared with multiple linear regres- sion (MLR), spatial autocorrelation, geographically weighted regression (GWR), and other models, ...
An algorithm called L-vox, available in Computree, allows matching more than 95% of the distributed material between simulated scans on a simulated tree and the actual distribution of the simulated tree's material [42]. The general idea of the L-vox algorithm is, firstly, to divide the ...
Although the majority of the data is complete, there are still some datasets with large amounts of missing data, which may result in errors in the parameters learned by the Bayesian network that need to be cleaned up manually. In addition, the K2 algorithm, which is a classical algorithm ...
The image correlation algorithm uses a multi-scale and hierarchical approach based on Normalized Cross-Correlation (NCC) and a non-linear cost function. A regularization parameter is introduced in order to avoid matching ambiguities and to have the ability to process small matching windows [42,43,...
This algorithm has been used to analyze the purchasing patterns of market customers from their baskets. There are three measurement parameters to show the relationships among different items in the basket, support, confidence, and lift. Support is defined as the proportion of item A and B at ...
An algorithm that extracts the original text in the ITB documents and generates the result in the data frame format (comma-separated values: CSV) was applied. The TFA module learns EPC risk entities using named-entity recognition (NER) technology. Various similar phrases, which differ according ...