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1811 |
Speciation, pattern recognition and the maximization of pollination: general questions and answers given by the reproductive biology of the orchid genus Ophrys
Enthalten in Journal of comparative physiology / A / Neuroethology, sensory, neural, and behavioral physiology Bd. 205, 28.5.2019, Nr. 3, date:6.2019: 285-300
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1812 |
Spectral Methods in Data Analysis and Pattern Recognition Problems: Works of the Pushchino School
Enthalten in Pattern recognition and image analysis Bd. 33, 20.3.2024, Nr. 4, date:12.2023: 1269-1272
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1813 |
Spectral Pattern Recognition Using Multi-Band Acousto-Optic Filters
Enthalten in Optics and spectroscopy Bd. 128, 2.9.2020, Nr. 7, date:7.2020: 1041-1047
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1814 |
Spectral Representation of Proton NMR Spectroscopy for the Pattern Recognition of Complex Materials
Enthalten in Journal of analysis and testing Bd. 1, 24.2.2017, Nr. 2, date:4.2017: 1-11
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1815 |
Sports-related lower limb muscle injuries: pattern recognition approach and MRI review
Enthalten in Insights into imaging Bd. 11, 7.10.2020, Nr. 1, date:12.2020: 1-17
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1816 |
SQLGuardNet: Deep learning adaptive processing-based pattern recognition for enhanced SQL injection detection
Enthalten in Signal, image and video processing Bd. 19, 18.9.2025, Nr. 13, date:12.2025: 1-12
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1817 |
Star pattern recognition based on features invariant under rotation
Enthalten in Pattern recognition and image analysis Bd. 27, 15.9.2017, Nr. 3, date:7.2017: 532-537
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1818 |
Statistical and neural classifiers: an integrated approach to design (Advances in Pattern Recognition Series). By S.Raudys
Enthalten in Pattern analysis and applications Bd. 7, 11.2.2004, Nr. 1, date:4.2004: 114-115
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1819 |
Statistical pattern recognition using Gaussian copula
Enthalten in Journal of statistical theory and practice Bd. 9, 1.12.2015, Nr. 4, date:12.2015: 768-777
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1820 |
Stochastic gradient support vector machine with local structural information for pattern recognition
Enthalten in International journal of machine learning and cybernetics Bd. 12, 15.4.2021, Nr. 8, date:8.2021: 2237-2254
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