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Modeling Approaches for System-of-Systems Dynamic Architecture: Overview, Taxonomy and Future Prospects.

, , , и . SoSE, стр. 49-56. IEEE, (2019)

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M S Perzanowski

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Другие публикации лиц с тем же именем

Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought., , и . DICTA, стр. 1-8. IEEE, (2021)Modeling Approaches for System-of-Systems Dynamic Architecture: Overview, Taxonomy and Future Prospects., , , и . SoSE, стр. 49-56. IEEE, (2019)Biometric Approaches of 2D-3D Ear and Face: A Survey., , , и . SCSS (1), стр. 509-514. Springer, (2007)Pre-text Representation Transfer for Deep Learning with Limited and Imbalanced Data: Application to CT-Based COVID-19 Detection., , , и . IVCNZ, том 13836 из Lecture Notes in Computer Science, стр. 119-130. Springer, (2022)A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays., , и . Neural Comput. Appl., 33 (20): 14037-14048 (2021)Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection., , , и . CoRR, (2023)Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition., , , и . ICIAR, том 5627 из Lecture Notes in Computer Science, стр. 387-396. Springer, (2009)Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost., , и . WACV, стр. 1-6. IEEE Computer Society, (2008)Refining Local 3D Feature Matching through Geometric Consistency for Robust Biometric Recognition., и . DICTA, стр. 513-518. IEEE Computer Society, (2009)A Fast and Fully Automatic Ear Recognition Approach Based on 3D Local Surface Features., , , и . ACIVS, том 5259 из Lecture Notes in Computer Science, стр. 1081-1092. Springer, (2008)