… content retrieval, we propose a simple yet effective cooperative content retrieval scheme and
introduce the specific retrieval … the traffic consumption for content retrieval in STIN, we also …

… The newly designed multi-task network in this paper allows it to integrate the detection
loss, metric loss and classification loss to train simultaneously for more accurate and user-friendly …

… SCENARIO We consider a cooperative content retrieval scenario in a mobile network (see …
widely studied in mobile networks, the purpose of this section is to integrate existing idea with …

… In those cases, the cross media content includes classical file and their metadata plus web
… and retrieval for services that integrate qualified documents and user generated content …

… The integration of edge computing and networking solutions has emerged as a promising
technology with the potential to impact the different elements of an end-to-end system (ie, …

… to content sources can retrieve data and return it back to requesters. We show that agent-based
content retrieval … Furthermore, we integrate ACR with DU [22] and compare it to multi-hop …

… as network and content sizes grow. In this paper, we propose a community-based content
retrieval … in disruption-tolerant mobile information-centric networks. Simulations in the NS-3 …

… of content based image retrieval (CBIR) systems is to ensure meaningful image retrieval …
The performance of these systems is severely degraded by the inclusion of image content which …

… Given the great success of Convolutional Neural Network (CNN) for image representation
and classification tasks, we argue that Content-Based Image Retrieval (CBIR) systems could …

… attention on how well content-based retrieval in hybrid P2P networks returns the “right” …
from different information providers to create an integrated ranked list of documents (“result …