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Fast Neuro-Classification of New and Used Bills Using Spectral Patterns of Acoustic Data.

, , and . J. Adv. Comput. Intell. Intell. Informatics, 4 (1): 12-17 (2000)

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Classification of Fatigue Bills Based on K-Means by Using Creases Feature., , , , , , and . DCAI, volume 79 of Advances in Intelligent and Soft Computing, page 27-33. Springer, (2010)Comparative Study of Outlier Detection Algorithms for Machine Learning., , , and . ICDLT, page 47-51. ACM, (2018)A design of semantics filter using the inductive learning algorithm for GIS., , , , , and . SMC, page 367-372. IEEE, (2003)An optimal routing problem for sightseeing with fuzzy time-varying weights., , , and . SMC (4), page 3665-3669. IEEE, (2004)Personal Geographie Information Systems Using Intelligent Architecture., , , and . JCIS, page 121-124. JCIS / Association for Intelligent Machinery, Inc., (2002)Extraction of coral bleaching by using high resolution satellite imagery., , , and . SMC (7), page 6417-6422. IEEE, (2004)Neuro-Classification of the New and Used Bills Using Time-Series Acoustic Data., and . ICONIP, page 169-172. IOA Press, (1998)Classification of Fatigue Bill Based on Support Vector Machine by Using Acoustic Signal., , , , and . IWANN (2), volume 5518 of Lecture Notes in Computer Science, page 590-595. Springer, (2009)Fast Neuro-Classification of New and Used Bills Using Spectral Patterns of Acoustic Data., , and . J. Adv. Comput. Intell. Intell. Informatics, 4 (1): 12-17 (2000)Algorithm to Discriminate between New and Used Bills Using a Neural Network., , and . DEXA Workshop, page 367-372. IEEE Computer Society, (1998)