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Titlebook: Nature Across Cultures; Views of Nature and Helaine Selin Book 2003 Springer Science+Business Media B.V. 2003 Cultural Studies.Energie.Eur

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樓主: Consonant
51#
發(fā)表于 2025-3-30 09:02:09 | 只看該作者
52#
發(fā)表于 2025-3-30 14:28:05 | 只看該作者
Roy Ellenave witnessed the development of numerous metaheuristics in various communities that sit at the intersection of several fields including geophysics. Many inverse problems in geophysics are considered as constrained optimization, as the aim of the process is to find the best parameter estimates so as
53#
發(fā)表于 2025-3-30 17:21:54 | 只看該作者
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發(fā)表于 2025-3-30 23:18:13 | 只看該作者
Richard W. Stoffle,Rebecca Toupal,Nieves Zede?oom the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (IoT) devices. The book offers new solutions by employing
55#
發(fā)表于 2025-3-31 02:06:43 | 只看該作者
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發(fā)表于 2025-3-31 05:01:03 | 只看該作者
Susan M. Darlingtonom the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (IoT) devices. The book offers new solutions by employing
57#
發(fā)表于 2025-3-31 09:35:27 | 只看該作者
58#
發(fā)表于 2025-3-31 15:15:15 | 只看該作者
John A. Tuckers within garments for human health monitoring. In this chapter, a novel approach is reported to create wearable energy generators and sensors using nanostructured hybrid piezoelectric fibers and exploiting the enormous variety of textile architectures. It is found that high performance hybrid piezof
59#
發(fā)表于 2025-3-31 19:46:05 | 只看該作者
60#
發(fā)表于 2025-3-31 22:25:36 | 只看該作者
John D. KesbyEMS-enabled self-sustained sensor working mechanisms including electromagnetic, piezoelectric, electrostatic, triboelectric, and magnetostrictive are reviewed and discussed. Recent advances in Internet of Things (IoT) and sensor networks reveal new insight into the understanding of traditional power
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