DRL, which fuses the strengths of deep learning and reinforcement learning, is increasingly used to support the core ...

As the world transitions toward cleaner and more sustainable energy futures, the coexistence of renewable and fossil fuel-based energy sources in hybrid systems has emerged as a pragmatic solution to ...

This technology significantly reduces the complexity of parameter updates during training through deep optimization ... circuit design and optimization algorithms. In terms of circuit design ...

Deep learning based semi-supervised learning algorithms have shown promising results in recent years. However, they are not yet practical in real semi-supervised learning scenarios, such as ...

For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where ...