Abstract: Time series forecasting is widely used in finance, meteorology, and industrial systems. Although existing methods have made progress in modeling trends and periodicity, they still face ...

Deploying deep learning models efficiently on heterogeneous hardware remains challenging. Here, authors present a mixed-precision supernetwork that jointly optimizes model mapping and adaptation, ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Today's technological changes present some powerful risks, and we should ask ourselves whether we think such changes are worthwhile – because we do have choices in the technologies we make and live by ...

Abstract: With the development of modern engineering technology, the dynamic optimization design of mechanical structure has become the key to improve product performance and market competitiveness.

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...