去才蔑视
发表于 2025-3-25 06:44:29
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Atrium
发表于 2025-3-25 09:04:21
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Amylase
发表于 2025-3-25 12:36:16
Learning From ‘Interpreted’ Work Contextsrom traditional and renewable sources), transportation and measurements (smart meters). Storing large amounts of electrical energy is not possible, therefore it is necessary to precisely predict energy consumption. Nowadays deep learning approaches are successfully used in different artificial intel
混合物
发表于 2025-3-25 19:05:16
https://doi.org/10.1007/978-3-319-70515-6cryptography by providing increased security. In this paper, a description of an algorithm for the generation of an initial value for encryption using neural network involving memristor and chaotic polynomials is provided. The chaotic series that is obtained is combined with nonlinear 1 Dimensional
发起
发表于 2025-3-25 23:44:23
https://doi.org/10.1007/978-3-030-76188-2ly recognize those students who are likely to exhibit poor performance. In this work, we introduce a new decision support software for predicting the students’ performance at the final examinations. The proposed software is based on a novel 2-level classification technique which achieves better perf
恃强凌弱的人
发表于 2025-3-26 01:48:08
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防止
发表于 2025-3-26 07:10:41
Introduction to Part III: Measurementcy and time effectiveness of operational processes. There have been numerous attempts to solve this problem, either by proposing a general form of document interpretation or by establishing an application dependant framework. Moreover, text/graphics segmentation has been presented as a particular fo
火花
发表于 2025-3-26 11:16:55
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Abrupt
发表于 2025-3-26 14:56:55
Teachers Can Be Financially Fitcollection and processing of real-time data, have introduced a large number of new threats. These threats are primarily related to the specific tasks these applications perform, such as their distinct design specifications, the specialized communication protocols they use and the heterogeneous devic
梯田
发表于 2025-3-26 17:54:08
Freeing Time: A Propositional Calculus,network at each round of boosting. The proposed approach combines recent developements in Residual Networks - a method for creating very deep networks by including a shortcut layer between different groups of layers - with the Deep Incremental Boosting, which has been proposed as a methodology to tr