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Titlebook: Organisiertes Misstrauen und ausdifferenzierte Kontrolle; Zur Soziologie der P Martin Wei?mann Book‘‘‘‘‘‘‘‘ 2023 Der/die Herausgeber bzw. d

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11#
發(fā)表于 2025-3-23 11:40:15 | 只看該作者
12#
發(fā)表于 2025-3-23 17:20:31 | 只看該作者
13#
發(fā)表于 2025-3-23 19:02:04 | 只看該作者
14#
發(fā)表于 2025-3-23 22:45:01 | 只看該作者
Martin Wei?mannegions have been exhausted simultaneously, the ones in the outer regions may still hold sufficient energy resource. This situation is defined as energy-hole problem in WSN. To investigate the principle of such problem and design corresponding defense strategies, it is critical to analyze the configu
15#
發(fā)表于 2025-3-24 02:37:52 | 只看該作者
Martin Wei?mann equipment and etc.) generate huge amounts of rich sensor data every day. With them, some deep learning based recognition applications provide users with various recognition services on edge devices. However, a fundamental problem these applications meet is how to perform deep learning algorithms ef
16#
發(fā)表于 2025-3-24 08:00:49 | 只看該作者
Martin Wei?mann equipment and etc.) generate huge amounts of rich sensor data every day. With them, some deep learning based recognition applications provide users with various recognition services on edge devices. However, a fundamental problem these applications meet is how to perform deep learning algorithms ef
17#
發(fā)表于 2025-3-24 12:02:37 | 只看該作者
egions have been exhausted simultaneously, the ones in the outer regions may still hold sufficient energy resource. This situation is defined as energy-hole problem in WSN. To investigate the principle of such problem and design corresponding defense strategies, it is critical to analyze the configu
18#
發(fā)表于 2025-3-24 15:39:43 | 只看該作者
Martin Wei?mannegions have been exhausted simultaneously, the ones in the outer regions may still hold sufficient energy resource. This situation is defined as energy-hole problem in WSN. To investigate the principle of such problem and design corresponding defense strategies, it is critical to analyze the configu
19#
發(fā)表于 2025-3-24 19:39:17 | 只看該作者
Martin Wei?mann equipment and etc.) generate huge amounts of rich sensor data every day. With them, some deep learning based recognition applications provide users with various recognition services on edge devices. However, a fundamental problem these applications meet is how to perform deep learning algorithms ef
20#
發(fā)表于 2025-3-24 23:48:03 | 只看該作者
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