Abstract: Road information derived from remote sensing images is extensively utilized across various fields. Traditionally, road extraction methods relied predominantly on manually designed features, ...

Abstract: Semantic Web techniques, such as ontologies, facilitate data and knowledge sharing in Information Systems due to their semantic formalization and inference qualities. Integrating ...

Semantic-STGCNN is a novel deep learning framework for human trajectory prediction that integrates semantic environmental information with spatio-temporal graph convolutional neural networks. This ...

Refuse-derived fuel (RDF) — conglomerated waste often composed of up to 50% plastic — is being burned globally in waste-to-energy incinerators, cement kilns, paper mills, and by other industries.

AI has transformed how we interact with technology, moving from traditional graphical interfaces to language-based, collaborative systems. To measure these new human-AI interactions, we developed ...

A deep learning system for efficient image transmission using semantic communication. The encoder compresses images into a compact semantic latent representation, which is transmitted over a noisy ...