publié le: 2022
Graph Pattern Matching (GPM) finds subgraphs of a large data graph that are similar to an input query graph. It has many applications, such as pattern...
publié le: 2024
Pattern matching in big graphs is important for different modern applications. Recently, this problem was defined in terms of multiple extensions of g...
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...
The paper addresses the issue of overall survival prediction in head and neck cancer as an effective mean of improving clinical diagnosis and treatmen...
