Browsing by Subject "Knowledge Graph"
Now showing items 1-5 of 5
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Deep convolution neural network model to predict relapse in breast cancer
(IEEE, 2018-12-17)A mishap in anti-cancer drug distribution is critical in breast cancer patients due to poor prediction model to identify the treatment regime in ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for ... -
Efficient path query approaches over distributed linked data
(NUI Galway, 2021-03-18)In the past decade, graphs have become the defacto data model in some of the popular application domains such as bioinformatics, social, and road networks. One of the most used variants of the graph model is the labeled ... -
Generating and ranking candidate data models from background knowledge
(NUI Galway, 2021-01-04)Knowledge graphs have emerged as a core technology to publish, share, and integrate data on the Web. Contrary to traditional data storage solutions, such as relational databases, one of the core functionalities of Knowledge ... -
Query-aware adaptive windowing for spatiotemporal complex video event processing for internet of multimedia things
(NUI Galway, 2021-06-01)With the evolution of the Internet of Things (IoT), there is an exponential rise in sensor devices that are deployed ubiquitously. Due to the extensive usage of IoT applications in smart cities, smart homes, self-driving ... -
Semantics-aware user modeling and recommender systems in online social networks
(NUI Galway, 2018-05-08)The popularity of Online Social Networks (OSNs) has rapidly increased over the past few years. User modeling (including creating user interest profiles) and recommendation approaches in OSNs are important methods to deal ...