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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut

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51#
發(fā)表于 2025-3-30 08:42:02 | 只看該作者
52#
發(fā)表于 2025-3-30 13:55:45 | 只看該作者
Factors Influencing Organizational Adoption of Artificial Intelligence and Corporate Social Responsporate Social Responsibility (CSR). Through a qualitative method on a single case study, our objective is to analyze the relations between the three main concepts: the SEPs emerging industry, the AI readiness/use and its impact on the CSR (protecting the resources/providing clean energy). Our findin
53#
發(fā)表于 2025-3-30 20:31:44 | 只看該作者
Fall Detection with Neural Networks, of the elderly. In this study, the operation of three artificial neural networks was compared to classify a person‘s activity as “falling” or “not falling”. The results show that the convolutional neural network confers higher accuracy (98.5%) and lower loss (0.23), with alert messages arriving ins
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發(fā)表于 2025-3-30 21:11:40 | 只看該作者
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發(fā)表于 2025-3-31 04:52:03 | 只看該作者
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發(fā)表于 2025-3-31 12:11:28 | 只看該作者
,Artificial Intelligence Tools for?Wind Turbine Blade Monitoring,ise. Finally, we provide a unique technique to compress deep convolutional neural networks for peripheral computing devices with limited resources. Additionally, we optimise audio-generated spectrograms for wind turbine blade trouble diagnosis.
58#
發(fā)表于 2025-3-31 15:37:12 | 只看該作者
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