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- "CNN-GRU"
The CNN-GRU network is an open-source software package for predicting the remaining useful lives (RULs) of systems and components using advanced deep learning techniques. Adopted across various industries, this software enables more accurate and efficient RUL prediction, facilitating data-driven maintenance decisions.
Paper
Published: 2022
Journal/Book: Transportation Research Part C: Emerging Technologies
Summary:
At the core of any flight schedule is the four dimensional (4D) trajectories which are comprised of three spatial dimensions with time added as the fourth dimension. Each trajectory contains spatial and temporal features that are associated with uncertainties that make the prediction process complex. Because of the increasing demand for air transportation, airports and airlines must have optimized schedules to best use the airports’ infrastructure potential.
At the core of any flight schedule is the four dimensional (4D) trajectories which are comprised of three spatial dimensions with time added as the fourth dimension. Each trajectory contains spatial and temporal features that are associated with uncertainties that make the prediction process complex. Because of the increasing demand for air transportation, airports and airlines must have optimized schedules to best use the airports’ infrastructure potential.