Deep multimodal fusion for ground-based cloud classification in weather station networks

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, February 2018

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Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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RT @SpringerEng: Using deep multimodal fusion and #NeuralNetworks to more accurately classify clouds from the ground. https://t.co/2GjxZnmm…

Using deep multimodal fusion and #NeuralNetworks to more accurately classify clouds from the ground. https://t.co/2GjxZnmmzq @SpringerOpen https://t.co/fQ4b7DlFmc

RT @SpringerEng: This research uses deep multimodal fusion and #NeuralNetworks to more accurately classify clouds from the ground. Perhaps…

This research uses deep multimodal fusion and #NeuralNetworks to more accurately classify clouds from the ground. Perhaps useful in predicting #uksnow? https://t.co/ndAzyHeg01 @SpringerOpen https://t.co/ULGFBOqzHR

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