Event extraction and detection using neural networks represents a transformative approach in natural language processing, enabling automated identification and interpretation of events within ...

The rapid evolution of neural network methodologies has significantly improved the prediction of respiratory motion, which is critical for the precision of radiotherapy and robotic-assisted surgical ...

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...