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Titlebook: Holomorphic Functions and Moduli II; Proceedings of a Wor D. Drasin,C. J. Earle,A. Marden Conference proceedings 1988 Springer-Verlag New Y

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樓主: fungus
51#
發(fā)表于 2025-3-30 08:47:19 | 只看該作者
Forming Tests from Questions with Different Theoretical and Practical Degree,f knowledge of the taught notions. Various degrees of difficulty help the student to diversify the learning and to meet all certain types of exercises and problems. In the context of the development of technology, models of assessment diversified or were updated using technology means. This work sho
52#
發(fā)表于 2025-3-30 13:51:05 | 只看該作者
53#
發(fā)表于 2025-3-30 18:49:28 | 只看該作者
54#
發(fā)表于 2025-3-30 22:39:44 | 只看該作者
55#
發(fā)表于 2025-3-31 02:03:47 | 只看該作者
Mergemaps: Treemaps for Scientific Datah abstractions are hard to interpret and time-consuming, particularly for feature-rich data. Current visualization schemes often place less emphasis on enriching user experience, human perception, or interaction. In this work, we aim to bridge that gap by utilizing treemaps towards effective topolog
56#
發(fā)表于 2025-3-31 06:20:01 | 只看該作者
57#
發(fā)表于 2025-3-31 09:49:53 | 只看該作者
58#
發(fā)表于 2025-3-31 15:24:16 | 只看該作者
,Essential Requirements of IoT’s Cryptographic Algorithms: Case Study,rity. The most secure cryptographic algorithms use a lot of resources, and in case of IoT, resources are not available on that scale, so there is a need to design a secure algorithm (lightweight cryptography) that would use less resources and hence won’t affect the performance either.
59#
發(fā)表于 2025-3-31 20:08:32 | 只看該作者
,Verfahrensm??ige Probleme der H?henmessung,MRI images for the automatic classification of brain tumors for the early diagnosis purposes. We consider classification as a supervised learning problem and we address it by means of Convolutional Neural Networks (CNN). Two different CNN models are proposed for two separate classifications, with ch
60#
發(fā)表于 2025-3-31 23:01:18 | 只看該作者
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