Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Abstract: Existing spatio-temporal prediction networks that rely on recurrent neural networks face significant parallelization challenges, leading to high computational costs and prolonged training ...

Abstract: Deep learning (DL)-based automatic modulation classification (AMC) exhibits substantial potential to improve signal processing accuracy and efficiency in intelligent communication systems.