AI-based sensor information fusion for supporting deep supervised learning

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dc.contributor.authorLeung, Carson K.
dc.contributor.authorBraun, Peter
dc.contributor.authorCuzzocrea, Alfredo
dc.date.accessioned2020-03-09T20:07:31Z
dc.date.available2020-03-09T20:07:31Z
dc.date.issued2019-03
dc.date.submitted2020-03-02T23:41:19Zen_US
dc.description.abstractIn recent years, artificial intelligence (AI) and its subarea of deep learning have drawn the attention of many researchers. At the same time, advances in technologies enable the generation or collection of large amounts of valuable data (e.g., sensor data) from various sources in different applications, such as those for the Internet of Things (IoT), which in turn aims towards the development of smart cities. With the availability of sensor data from various sources, sensor information fusion is in demand for effective integration of big data. In this article, we present an AI-based sensor-information fusion system for supporting deep supervised learning of transportation data generated and collected from various types of sensors, including remote sensed imagery for the geographic information system (GIS), accelerometers, as well as sensors for the global navigation satellite system (GNSS) and global positioning system (GPS). The discovered knowledge and information returned from our system provides analysts with a clearer understanding of trajectories or mobility of citizens, which in turn helps to develop better transportation models to achieve the ultimate goal of smarter cities. Evaluation results show the effectiveness and practicality of our AI-based sensor information fusion system for supporting deep supervised learning of big transportation data.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC); University of Manitobaen_US
dc.identifier.citationLeung, C.K.; Braun, P.; Cuzzocrea, A. AI-based sensor information fusion for supporting deep supervised learning. Sensors 2019, 19, 1345.en_US
dc.identifier.doihttps://doi.org/10.3390/s19061345
dc.identifier.urihttp://hdl.handle.net/1993/34563
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsopen accessen_US
dc.subjectsensoren_US
dc.subjectinformation fusionen_US
dc.subjectsensor fusionen_US
dc.subjectartificial intelligence (AI)en_US
dc.subjectdeep learningen_US
dc.subjectsupervised learningen_US
dc.subjectdata miningen_US
dc.subjecttransportationen_US
dc.subjectgeographic information system (GIS)en_US
dc.subjectglobal navigation satellite system (GNSS)en_US
dc.subjectglobal positioning system (GPS)en_US
dc.titleAI-based sensor information fusion for supporting deep supervised learningen_US
dc.typeArticleen_US
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Leung, C.K.; Braun, P.; Cuzzocrea, A. AI-based sensor information fusion for supporting deep supervised learning. Sensors 2019, 19, 1345. This article belongs to the special issue "Recent advances in artificial intelligence and deep learning for sensor information fusion". This is an open access article distributed under the Creative Commons Attribution License.
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