UTLDR: an agent-based framework for modeling infectious diseases and public interventions [0.03%]
基于代理的传染病模型及公共干预框架UTLDR
Giulio Rossetti,Letizia Milli,Salvatore Citraro et al.
Giulio Rossetti et al.
Due to the SARS-CoV-2 pandemic, epidemic modeling is now experiencing a constantly growing interest from researchers of heterogeneous study fields. Indeed, due to such an increased attention, several software libraries and scientific tools ...
Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction [0.03%]
智能传感器、计算机视觉和知识表示的融合用于智能监控及人机对话交互系统中的应用研究
Thanassis Mavropoulos,Spyridon Symeonidis,Athina Tsanousa et al.
Thanassis Mavropoulos et al.
The details presented in this article revolve around a sophisticated monitoring framework equipped with knowledge representation and computer vision capabilities, that aims to provide innovative solutions and support services in the healthc...
Michele Ianni,Elio Masciari,Giancarlo Sperlí
Michele Ianni
The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of heterogeneous data. Thus, traditional approaches quickly became unpractical for real life applications due their intrinsic properties: large amount of user-...
Modeling information diffusion in online social networks using a modified forest-fire model [0.03%]
利用修改的森林火灾模型模拟在线社交网络中的信息传播
Sanjay Kumar,Muskan Saini,Muskan Goel et al.
Sanjay Kumar et al.
Information dissemination has changed rapidly in recent years with the emergence of social media which provides online platforms for people worldwide to share their thoughts, activities, emotions, and build social relationships. Hence, mode...
Modelling expertise at different levels of granularity using semantic similarity measures in the context of collaborative knowledge-curation platforms [0.03%]
基于语义相似度测度的协同知识管理平台中的分层次建模专家系统
Hasti Ziaimatin,Tudor Groza,Tania Tudorache et al.
Hasti Ziaimatin et al.
Collaboration platforms provide a dynamic environment where the content is subject to ongoing evolution through expert contributions. The knowledge embedded in such platforms is not static as it evolves through incremental refinements - or ...
Bing Li,Tommy W S Chow,Di Huang
Bing Li
In this paper, a novel feature selection method based on rough sets and mutual information is proposed. The dependency of each feature guides the selection, and mutual information is employed to reduce the features which do not favor additi...
Diane J Cook,Narayanan Krishnan
Diane J Cook
Individuals spend a majority of their time in their home or workplace and for many, these places are our sanctuaries. As society and technology advance there is a growing interest in improving the intelligence of the environments in which w...
Using ontology databases for scalable query answering, inconsistency detection, and data integration [0.03%]
基于本体的数据库技术在可扩展查询处理、不一致性检测和数据集成中的应用研究
Paea Lependu,Dejing Dou
Paea Lependu
An ontology database is a basic relational database management system that models an ontology plus its instances. To reason over the transitive closure of instances in the subsumption hierarchy, for example, an ontology database can either ...
Qiang Wang,Vasileios Megalooikonomou
Qiang Wang
The evaluation of the process of mining associations is an important and challenging problem in database systems and especially those that store critical data and are used for making critical decisions. Within the context of spatial databas...