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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Tomohiko Tomita

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Open access Sep 2026

An NWP-Free, Observation-Driven Deep Learning Approach to Heavy-Rainfall Nowcasting Beyond the Three-Hour Limit

Quasi-stationary convective bands over Kyushu, Japan, frequently trigger rainy-season disasters, and hours with ≥50 mm h −1 rainfall are increasing. However, skillful nowcasts beyond 3 h remain limited. This study presents FlowsNet, an observation-based multisensor fusion model that learns directly from radar/rai...

Ryu Shimabukuro, Tomohiko Tomita, Tsuyoshi Yamaura et al. · 0 citations

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