A State-Of-The-Art Review of Industrial Time Series Data Analysis: Methods and Applications
A systematic review of state-of-the-art methods—spanning statistical approaches, machine learning (ML), deep learning (DL), and cutting-edge large models—along with their applications in industrial decision-making to inspire innovations in realizing data-driven intelligent decision-making for next-generation IIoT syste...