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New data‐driven method for estimation of net ecosystem carbon exchange at meteorological stations effectively increases the global carbon flux data
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Capturing complexity over space and time via deep learning : an application to real-time delay prediction in railways
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Using social media photos and computer vision to assess cultural ecosystem services and landscape features in urban parks
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Hybrid differential equations : integrating mechanistic and data-driven techniques for modelling of water systems
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Magnetic nanoparticles in theranostic applications
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Machine learning applications in river research : trends, opportunities and challenges
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CT-SAT : contextual transformer for sequential audio tagging
(2022) p.4147-4151 -
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Spikemax : spike-based loss methods for classification
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- Conference Paper
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Relation-guided acoustic scene classification aided with event embeddings
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Exploiting temporal context in CNN based multisource DOA estimation