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Titlebook: Der Anti-Stress-Trainer für Selbstst?ndige; Typische Stressfakto Marcel Schettler Book 2017 Springer Fachmedien Wiesbaden GmbH, ein Teil vo

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21#
發(fā)表于 2025-3-25 06:58:58 | 只看該作者
Yanjun Jiang,Mingshan Leisal. Microbial fuel cell (MFC) has emerged as a technique for the generation of electricity under the influence of the metabolic action of microbes. The technique is known since 100?years, but in the last two decades, the research group have shown keen interest in this technique as it is capable of
22#
發(fā)表于 2025-3-25 09:07:09 | 只看該作者
23#
發(fā)表于 2025-3-25 13:06:19 | 只看該作者
24#
發(fā)表于 2025-3-25 19:52:51 | 只看該作者
25#
發(fā)表于 2025-3-25 19:59:05 | 只看該作者
Enactments of Systems Biology, crucial challenges are social, political and ethical. In biomedicine, issues of variability and validation have a social and ethical significance; while trusting a model in biology may have primarily epistemic importance, in biomedicine it has primarily pragmatic and ethical importance (in the sens
26#
發(fā)表于 2025-3-26 03:46:27 | 只看該作者
27#
發(fā)表于 2025-3-26 07:53:10 | 只看該作者
28#
發(fā)表于 2025-3-26 10:01:13 | 只看該作者
29#
發(fā)表于 2025-3-26 13:01:17 | 只看該作者
https://doi.org/10.1007/978-3-658-18848-1ins. In this paper we propose a metamodel for a transformation chain modeling language that enables implementation independent composition of transformations. We also propose a concrete syntax for this language that is based on UML activity diagrams.
30#
發(fā)表于 2025-3-26 20:30:43 | 只看該作者
Predicting Health Status of Maize Crops by Integrating IoT Technology and Inception-v3 Convolutional Neural Network in Precision Agriculture,re in maize crops, along with an Inception-v3 convolutional neural network model to predict maize crop health status and provide real-time data insight to the farmers. The outcomes demonstrate exceptional performance, with an accuracy rate of 99.5%. Furthermore, the model has significantly reduced losses from 54 to 2%.
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