In terms of policy-based reinforcement learning, policy gradient (PG) has the capability to solve problems with continuous action. However, PG easily convergences to a local optimal. Deep Q Network ...

Thus, we construct the deep learning model that extracts the spatial and temporal features from the heartbeat signal by CNN and LSTM. Based on the extracted features, the ECG signal is reconstructed.

In the clamor of a crowded café or the din of a busy street, your brain performs a quiet miracle—tuning into one voice while ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Efficient traffic signal control (TSC) for multiple intersections is an important way to solve traffic congestion. With the development of deep reinforcement learning (DRL), an increasing number of ...

As more connected devices demand an increasing amount of bandwidth for tasks like teleworking and cloud computing, it will become extremely challenging to manage the finite amount of wireless spectrum ...