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Artikel 1151 Triangular coil pattern of local radius of gyration face for heterogeneous face recognition
Enthalten in Applied intelligence Bd. 50, 24.8.2019, Nr. 3, date:3.2020: 698-716
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Artikel 1152 TWO LEVELS FUSION DECISION FOR MULTISPECTRAL IMAGE PATTERN RECOGNITION
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. II-2/W2, 2015: 69-74
Online Ressource
Artikel 1153 Ultra high performance liquid chromatography with synapt high‐definition mass spectrometry and a pattern recognition approach to characterize chemical constituents and rat metabolites after the oral administration of Phellinus igniarius
Enthalten in Journal of separation science Bd. 38, 2015, Nr. 7: NA-NA. 1 S.
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Artikel 1154 Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding
Enthalten in npj science of learning Bd. 10, 12.5.2025, Nr. 1, date:12.2025: 1-13
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Artikel 1155 Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning
Enthalten in Scientific reports Bd. 8, 11.1.2018, Nr. 1, date:12.2018: 1-11
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Artikel 1156 Upstream flood pattern recognition based on downstream events
Enthalten in Environmental monitoring and assessment Bd. 190, 24.4.2018, Nr. 5, date:5.2018: 1-8
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Artikel 1157 Ural School of Pattern Recognition: Majoritarian Approach to Ensemble Learning
Enthalten in Pattern recognition and image analysis Bd. 33, 20.3.2024, Nr. 4, date:12.2023: 1458-1472
Online Ressource
Artikel 1158 Using artificial bat sonar neural networks for complex pattern recognition: Recognizing faces and the speed of a moving target
Enthalten in Biological cybernetics Bd. 74, 1.4.1996, Nr. 4, date:4.1996: 331-338
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Artikel 1159 Using the yes/no recognition response pattern to detect memory malingering
Enthalten in BMC Psychology Bd. 1, 25.6.2013, Nr. 1, date:12.2013: 1-11
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Artikel 1160 Volatile Profile Characterization of Extra Virgin Olive Oils from Argentina by HS-SPME/GC-MS and Multivariate Pattern Recognition Tools
Enthalten in Food analytical methods Bd. 7, 17.4.2014, Nr. 10, date:11.2014: 2122-2136
Online Ressource


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