Ige326
发表于 2025-3-25 06:26:10
Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networksrease as a consequence of climate change. So far, the majority of approaches is based on hydraulics and engineering expertise. However, with the increasing availability of sensors, machine learning techniques constitute a promising tool. This work presents the main tasks in water distribution networ
GIDDY
发表于 2025-3-25 09:42:17
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朝圣者
发表于 2025-3-25 14:36:09
Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Modelsg the spatial resolution and detail of meteorological variables. Leveraging the capabilities of diffusion models, specifically the SR3 and ResDiff architectures, we present a methodology for transforming low-resolution weather data into high-resolution outputs. Our experiments, conducted using the W
无孔
发表于 2025-3-25 19:17:13
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先锋派
发表于 2025-3-25 20:45:58
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CLEFT
发表于 2025-3-26 01:45:44
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补助
发表于 2025-3-26 06:38:33
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/167622.jpg
Traumatic-Grief
发表于 2025-3-26 09:57:15
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SOBER
发表于 2025-3-26 16:00:26
978-3-031-72355-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
SLING
发表于 2025-3-26 19:03:41
Alasdair Vance,Jo Winther,Elham Shoorcheh of subjective factors on grading. Previous works tend to treat it solely as a regression or classification task, without considering the integration of both. Additionally, neural networks trained on limited samples often exhibit poor performance in capturing the deep semantics of texts. To enhance