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Real-Time AIoT-Driven Weather Forecasting on the Edge for Off-Grid Settings

Weather forecasting, given the ever-increasing occurrence of climate change-induced events, has been widely introduced as a method to offer accurate and timely forecasts for proactive measures and risk mitigation. Artificial intelligence of things (AIoT) offers promising solutions for short-term wea...

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Principais autores: Sofia Polymeni, Georgios Spanos, Stefanos Georgiadis, Anastasios Pechlivanidis, Dimitris Tsiktsiris, Evangelos Athanasakis, Konstantinos Votis, Dimitrios Tzovaras, Georgios Kormentzas
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-05-01
Colecção:Network
Assuntos:
Artificial Intelligence of Things (AIoT)
Edge AI
Internet of Things (IoT)
Machine Learning (ML)
weather forecasting
Wireless Sensor Network (WSN)
Acesso em linha:https://www.mdpi.com/2673-8732/6/2/34
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