Periodic Phenomenon

Periodic phenomena, characterized by recurring patterns over time or space, are a central focus in numerous scientific disciplines, with research aiming to accurately model, detect, and predict these patterns. Current research emphasizes the development of novel neural network architectures, such as Fourier Analysis Networks and Transformer-based models incorporating periodicity-aware mechanisms, alongside advanced algorithms for event-based estimation and unsupervised learning. These advancements are improving the analysis of diverse data types, from time series forecasting and gait recognition to remote physiological signal detection, with significant implications for various fields including healthcare, robotics, and environmental monitoring.