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Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2022 The Editor(s) (if applicable) and The Author(s), under e

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樓主: 麻煩
41#
發(fā)表于 2025-3-28 14:59:00 | 只看該作者
https://doi.org/10.1007/978-3-030-80119-9Cloud Computing; High Performance Computing; Distributed Computing; Blockchain; Artificial Intelligence;
42#
發(fā)表于 2025-3-28 20:18:58 | 只看該作者
43#
發(fā)表于 2025-3-29 01:17:50 | 只看該作者
Intelligent Computing978-3-030-80119-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
44#
發(fā)表于 2025-3-29 05:18:08 | 只看該作者
45#
發(fā)表于 2025-3-29 07:21:42 | 只看該作者
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發(fā)表于 2025-3-29 11:50:43 | 只看該作者
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發(fā)表于 2025-3-29 16:19:40 | 只看該作者
Multi-population Genetic Algorithm with the Actor Model Approach to Determine Optimal Braking Torquuring an untripped rollover maneuver. The numerical model of the articulated vehicle and dynamic optimization have been used to calculate appropriate braking torques for each wheel in order to restore stability. The optimization problem requires the equations of motion to be integrated at each optim
48#
發(fā)表于 2025-3-29 20:15:33 | 只看該作者
A Novel Three-Way Merge Algorithm for HTML/XML Documents Using a Hidden Markov Model,a major programming challenge. Yet surprisingly, relatively little effort has been put into the direction of developing sound algorithms and methodologies for meeting this challenge by automated means. In this paper a novel algorithmic approach to merging HTML/XML code documents is presented that is
49#
發(fā)表于 2025-3-30 03:32:08 | 只看該作者
Scaling Out Transformer Models for Retrosynthesis on Supercomputers,sk with the help of deep learning techniques, for example with the help of Transformer networks. Here the retrosynthesis task is treated as a machine translation problem where the Transformer network predicts the precursor molecules given a string representation of the target molecule. Previous rese
50#
發(fā)表于 2025-3-30 07:55:19 | 只看該作者
Naming Processes in Multichannels with Beeps in the Weak Model,re they can detect the presence of a signal (beep), or its absence (silence). In the weak model, the processes can choose to transmit a beep on one or more channels and can detect beeps and/or silence on all channels. The processes are anonymous and they begin without names to identify themselves. T
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