3 accepted papers
Accurate spatio-temporal forecasting requires modeling interactions across multiple spatial and temporal scales. Existing Graph Neural Network (GNN) forecasters primarily operate at a single local scale, limiting their ability to capture global processes that govern system dynamics. Hierarchical GNN
Many instruments performing optical and non-optical imaging and sensing such as Optical Coherence Tomography (OCT) Magnetic Resonance Imaging or Fourier-transform spectrometry produce digital signals containing modulations sine-like components which only after Fourier transformation give information…
New Zealand's unique ecosystems face increasing threats from climate change, impacting biodiversity and posing challenges to safety, livelihoods, and well-being. To tackle these complex issues, advanced data science and artificial intelligence techniques can provide unique solutions. Currently, in…