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Found 5 papers, 1 papers with code
Back to the Future: GNN-based NO$_2$ Forecasting via Future Covariates
Remarkably, we find that conditioning on future weather information has a greater impact than considering past traffic conditions.
Super-Resolution of BVOC Emission Maps Via Domain Adaptation
In our work, we aim at super-resolving low resolution emission maps derived from satellite observations by leveraging the information of emission maps obtained through numerical simulations.
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection
In this work, we propose a strategy to super-resolve coarse BVOC emission maps by simultaneously exploiting the contributions of different compounds.
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
Biogenic Volatile Organic Compounds (BVOCs) play a critical role in biosphere-atmosphere interactions, being a key factor in the physical and chemical properties of the atmosphere and climate.
Speaker-Independent Microphone Identification in Noisy Conditions
This work proposes a method for source device identification from speech recordings that applies neural-network-based denoising, to mitigate the impact of counter-forensics attacks using noise injection.
