Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution
system (DWDS) remains challenging. Predicting DBPs using readily available water quality …

Semantic communication has gained significant attention from researchers as a promising
technique to replace conventional communication in the next generation of communication …

Facial expression-based emotion analysis is one of the most important artificial intelligence
research fields. However, a lot of works still suffer from the low classification/regression …

Decentralized deep learning (DL) based resource allocation (RA) in communication
networks guarantees scalability and higher communication bandwidth efficiency compared …

This paper investigates the optimization of the long-standing probabilistically robust transmit
beamforming problem with channel uncertainties in the multiuser multiple-input single …

With the advancement of hydraulic engineering processes, surface water resources are
encountering unprecedented crises that threaten social and ecological sustainability. This …

The convergence of communication and computation, along with the integration of machine
learning and artificial intelligence, stand as key empowering pillars for the sixth-generation …

In the cellular network framework, the resource allocation problem for Device-to-Device
(D2D) communication technology is particularly critical. The core issue is how to efficiently …