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2017 IEEE 1st Summer School on Smart Cities, S3C 2017 - Proceedings(1)
2020 IEEE International Smart Cities Conference, ISC2 2020(1)
7th International Conference on Engineering and Emerging Technologies, ICEET 2021(1)
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Assessment of Smartphone Positioning Data Quality in the Scope of Citizen Science Contributions
ArticleAbstract: Human travel behaviour has been addressed in many transport studies, where travel survey methods havPalabras claves:Autores:Angel J. Lopez, Daniel Ochoa Donoso orcid, Gautama S., Semanjski I.Fuentes:scopusA methodology for train trip identification in mobility campaigns based on smart-phones
Conference ObjectAbstract: Nowadays, mobility campaigns use mobile phones as sensors for travel surveys aimed at gathering chroPalabras claves:GIS, GPS, mobility, transport mode classificationAutores:Daniel Ochoa Donoso orcid, Gautama S., Jorge Rodríguez-EcheverríaFuentes:googlescopusGenetic Algorithm for Solving Coverage Issues in Undersea Mining
Conference ObjectAbstract: To be cost-effective, robot-based undersea mining must comply several operational constraints. AmongPalabras claves:autonomous systems, Coverage path planning, Deep sea mining, Genetic AlgorithmsAutores:Angel J. Lopez, Daniel Ochoa Donoso orcid, Gautama S., Ronald Ponguillo-Intriago, Semanjski I.Fuentes:scopusService Response Time Estimation in Crowdsourced Processing Chain
Conference ObjectAbstract: Self-organized platforms to support Citizen Observatories need to build data processing chains basedPalabras claves:crowdsourcing, Map-Matching, Response time estimationAutores:Daniel Ochoa Donoso orcid, Gautama S., Jorge Rodríguez-Echeverría, Van Gheluwe C.Fuentes:googlescopusRepurposing existing traffic data sources for COVID-19 crisis management
Conference ObjectAbstract: Mobility behavior was impacted severely by the COVID-19 health crisis. To understand the changing siPalabras claves:Autores:Angel J. Lopez, Gautama S., Semanjski I., Van Gheluwe C.Fuentes:scopusSpectral-spatial classification for hyperspectral image by bilateral filtering and morphological features
Conference ObjectAbstract: Hyperspectral (HS) imagery contains a wealth of spectral and spatial information that can improve taPalabras claves:Bilateral filtering, data fusion, Hyperspectral images, mathematical morphologyAutores:Daniel Ochoa Donoso orcid, Gautama S., Li J., Liao W., Philips W., Qi C., Van Coillie F.Fuentes:googlescopus