Classic Graph Neural Network (GNN) inference approaches, designed for st...
Coarse-Grained Reconfigurable Arrays (CGRA) are promising edge accelerat...
Climate change is becoming one of the greatest challenges to the sustain...
Robotic force-based compliance control is a preferred approach to achiev...
Traditional control methods of robotic peg-in-hole assembly rely on comp...
Reconfigurable intelligent surface (RIS) is an emerging technique employ...
Next-generation mobile communication network (i.e., 6G) has been envisio...
Adaptive traffic signal control plays a significant role in the construc...
Reinforcement learning (RL) is always the preferred embodiment to constr...
Reconfigurable intelligent surface (RIS) is an emerging technique employ...
In recent years, semi-supervised multi-view nonnegative matrix factoriza...
The past few years have witnessed the great potential of exploiting chan...
The robotic assembly represents a group of benchmark problems for
reinfo...
Drones are driving numerous and evolving use cases, and creating
transfo...
In order to classify the nonlinear feature with linear classifier and im...