Abstract. To enrich urban digital twins and better understand city evolution, the integration of heterogeneous, spatio-temporal data has become a large area research in enrichment 3D 4D (3D + Time) semantic models. These models, which can represent geospatial their evolving relations, may require data-driven approaches to provide temporal concurrent views landscape. However, often requires tran...

Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns.  Objectives: We examined the small-world properties of featured semantic networks of developing children. Materials & Methods: In this longitudinal study, the featured semantic networks of children aged 1...

Semantic graph representation of text is an important part of natural language processing applications such as text summarisation. We have studied two ways of constructing the semantic graph of a document from dependency parsing of its sentences. The first graph is derived from the subject-object-verb representation of sentence, and the second graph is derived from considering more dependency r...

The job of discovering appropriate code snippets against a natural language query is an important task for software developers. Appropriate retrieval increases productivity and quality as well. In contrast to traditional information techniques, search necessitates bridging the semantic breach between programming languages fragments. Deep neural networks codes have recently been hot topic in res...

Loop closure can effectively correct the accumulated error in robot localization, which plays a critical role long-term navigation of robot. Traditional appearance-based methods rely on local features and are prone to failure ambiguous environments. On other hand, object recognition infer objects' category, pose, extent. These objects serve as stable semantic landmarks for viewpoint-independent...