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Titlebook: Production systems and hierarchies of centres; The relationship bet Jan Gunnarsson Book 1977 H. E. Stenfert Kroese B.V., Leiden 1977 Financ

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發(fā)表于 2025-3-25 03:32:19 | 只看該作者
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發(fā)表于 2025-3-25 10:46:22 | 只看該作者
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23#
發(fā)表于 2025-3-25 13:50:04 | 只看該作者
Text-line-up: Don’t Worry About the?Caretations in the reading sequence of words. In this paper, we aim to line-up the words of a text-line, so that it can assist the OCR engine. Previous text-line segmentation techniques in the literature have scarcely addressed this issue. Here, the task undertaken is formulated as a path planning proble
24#
發(fā)表于 2025-3-25 18:28:45 | 只看該作者
Optical Fibers long distances at low loss. The development of optical fiber technology was mainly driven by the long-haul telephone carriers who desired a cheap, low-noise, high-reliability transmission system. Fortunately, numerous other fields, notably laser angioplasty, have benefited as well. The purpose of t
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發(fā)表于 2025-3-25 20:53:28 | 只看該作者
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發(fā)表于 2025-3-26 02:40:24 | 只看該作者
,An Introduction to Women’s Mental Health,aspects of sex differences, but also biological basis and how this knowledge could advance preventive, diagnostic, government policies, and therapeutic health-care practices. What follow are some introductory aspects of evidence-based strategies, key terms, and concepts in this interdisciplinary are
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發(fā)表于 2025-3-26 04:44:50 | 只看該作者
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發(fā)表于 2025-3-26 08:33:51 | 只看該作者
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發(fā)表于 2025-3-26 16:17:09 | 只看該作者
Efficient Comparison of Encrypted Biometric Templatesingerprints, called ECEBT. We evaluate our algorithm on synthetic data concerning multiple noise effects, and on the real world biometric database FVC-2002 DB1 concerning efficiency and effectiveness.
30#
發(fā)表于 2025-3-26 18:20:56 | 只看該作者
https://doi.org/10.1057/9780230510098port Vector Machine (SVM), Decision Tree (DT), K–Nearest Neighbor, Na?ve Bayesian Classifier (NBC), Random Forest (RF), and Logistic Regression (LR). The results of our method show not only that much fewer features are needed, but also higher accuracy can be accomplished, 81% for Adaptive Particle S
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