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The acquired data are presented in this work.
The acquired data amount increases continuously with the discharge length.
FlowJo 7.6.1 software (Tree Star Inc. OR) was used to analyse the acquired data.
Implement a program that automatically reconstructs the high-level representation from the acquired data type.
Instantaneous processing of the acquired data from the accelerometer enables faster diagnosis.
Analyzing the acquired data by TIE, identification of free spans is achieved.
Intelligent methods for browsing and retrieval of the acquired data from the common database are desired.
The acquired data on disk is remotely available through a HTTP server.
The acquired data was analyzed using percentages, means, standard deviations, and discriminant analysis.
The acquired data has, however, low time resolution and is sometimes insufficient for detailed analysis.
The acquired data allowed to carry out the battery modeling and the parameters identification procedure.
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