Forecasting coasts may improve by combining AI, physics, and real-world data

Coastal landscapes are constantly being reshaped by natural forces, and as climate change causes more frequent storms and sea ...
Science Daily

Quantum AI just got shockingly good at predicting chaos

Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic ...

HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
IEEE

EEGScaler: A Deep Learning Network to Scale EEG Electrode and Samples for Hand Motor Imagery Speed Decoding

Abstract: Motor Imagery (MI)-based Brain-Computer Interface (MI-BCI) systems induce neuroplasticity, promoting rehabilitation in stroke-affected patients. Decoding of kinematics information such as ...
IEEE

DBF-KAN: A Double Basis Function Kolmogorov–Arnold Network for Predicting Underwater Sound Speed With the Presence of Internal Waves

Abstract: The distribution of underwater sound speed is crucial for determining the propagation mode of underwater acoustic signals. In traditional works for predicting sound speed profiles (SSPs), ...