publié le: 2024
This paper proposes a graph-based approach to determine the importance of each media in a multimedia document by expanding the traditional four-dimens...
publié le: 2023
Remote deep learning paradigm enables to better leverage the power of deep neural networks in pervasive health monitoring (PHM) applications, especial...
publié le: 2022
The paper addresses the issue of overall survival prediction in head and neck cancer as an effective mean of improving clinical diagnosis and treatmen...
We propose two methods to compact the used search tree during the graph edit distance (GED) computation. The first maps the node information and encod...
ICT community cornerstones (IoT in particular) gain competitive advantage from using physical resources. This paper adopts Time Petri-Nets (TPNs) to m...
