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[Communications in Computer and Information Science] Applied Informatics and Communication Volume 225 || Kalman Filter Based on SVM Innovation Update for Predicting State-of Health of VRLA Batteries

✍ Scribed by Zeng, Dehuai


Book ID
120654301
Publisher
Springer Berlin Heidelberg
Year
2011
Weight
196 KB
Category
Article
ISBN
3642232205

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