Due to drastic development of smart phone devices, there is a considerable increase in mobile traffic flow that is provided difficulty on the fifth generation (5G) cellular networks. The growing ...

High-resolution flow field data are essential for accurately evaluating the aerodynamic performance of aircraft. However, acquiring such data via ...

This study introduces HDRL-QIGA, a hybrid deep learning model combining reinforcement learning and quantum-inspired algorithms to optimize power flow in renewable energy systems. The model ...

Probabilistic power flow (PPF) plays a critical role in power system analysis. However, the high computational burden makes it challenging for the practical implementation of PPF. This paper proposes ...

First, we thought of traffic in terms of the physical process of diffusion. In our model, the flow of traffic over a network of roads is analogous to the flow of fluids over a surface — motions that ...

This is Google’s animated illustration of how tensors flow from node to node through the edges of a data flow graph. TensorFlow currently runs on Ubuntu Linux, MacOS, Android, iOS, and Raspberry ...

This is what people often call the “art” of deep learning: choosing which attributes to consider or ignore can significantly influence your model’s prediction accuracy.

In recent years, the transformer model has become one of the main highlights of advances in deep learning and deep neural networks. It is mainly used for advanced applications in natural language ...