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Titlebook: Activity Recognition and Prediction for Smart IoT Environments; Michele Ianni,Antonella Guzzo,Zhelong Wang Book 2024 The Editor(s) (if app

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發(fā)表于 2025-3-25 03:26:13 | 只看該作者
Discovering Human Habits Through Process Mining: State of the Art and Research Challenges,his chapter, we show how concepts and techniques borrowed from the area of . can be used to ease this operation. In particular, we propose a bottom-up discretization strategy to automatically segment a smart home log into meaningful portions called .. We evaluate the proposed approach using a well-known dataset in the smart space literature.
22#
發(fā)表于 2025-3-25 11:34:48 | 只看該作者
https://doi.org/10.1007/978-3-031-60027-2Internet of Things; Activity Detection; Security; Privacy; Industrial Control System; Process Mining; Intr
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發(fā)表于 2025-3-25 15:19:47 | 只看該作者
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發(fā)表于 2025-3-25 15:52:52 | 只看該作者
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發(fā)表于 2025-3-25 21:46:07 | 只看該作者
Funktionsbegriff und -eigenschaftenonents in advancing intelligent healthcare and sports analytics. The text presents an overview of the requisite sensor technology, materials employed, and methods for thorough data processing to precisely capture and interpret human motion. For motion capture, the chapter introduces data fusion tech
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發(fā)表于 2025-3-26 01:47:48 | 只看該作者
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發(fā)表于 2025-3-26 04:39:54 | 只看該作者
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發(fā)表于 2025-3-26 10:50:14 | 只看該作者
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發(fā)表于 2025-3-26 15:30:15 | 只看該作者
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發(fā)表于 2025-3-26 20:20:36 | 只看該作者
Grundkurs Wirtschaftsmathematikositioned at the forefront of the Fourth Industrial Revolution, data-centric, automated technologies are forging new pathways for transformative enhancements in manufacturing and industrial procedures. Central to these advancements is the synergy between ML and AR, playing a crucial role in this evo
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