Vehicles and pedestrians can move freely like "ghosts"... This is not a science fiction story, but a function brought by a ...

Compressed sensing technology is a novel signal processing theory that enables sampling and reconstruction of signals at rates far below the Nyquist sampling theorem. The EALISTA algorithm, as a key ...

To address the above problem, a penalty removal search algorithm (PRSA) is proposed for ED nonconvex optimization. It is composed of two distributed optimization algorithms embedded in a reinforcement ...

The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective algorithms ...

SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...

Here, we present a model-based deep learning framework for time-resolved imaging in multi-shot computational microscopy. Building upon the plug-and-play (PnP) optimization theory, our approach ...