The study shows a critical gap in modern urban informatics. Synthetic data and digital twin models, the authors note, have ...

Nitika Garg does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Abstract: The YOLOv4 network is widely used in object detection tasks as a representative network, but there is also the problem that the complexity of the network model affects the detection speed.

Astronomers have captured the first detailed maps of metal gases escaping from the third interstellar visitor ever detected passing through our solar system, and the patterns reveal clues about ...

Abstract: With the continuous rolling-out of wireless edge cloud networks, Federated Learning (FL) has emerged as a promising solution for decentralized model training without exposing raw data.