Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Rudi Verago"'
Autor:
Robert Gilmore, Joe Naoum-Sawaya, Wynita M. Griggs, Rodrigo H. Ordonez-Hurtado, Rudi Verago, Robert Shorten
Publikováno v:
IEEE Internet of Things Journal. 5:4018-4030
In this paper, we demonstrate a system for locating missing entities using radio-frequency identification (RFID)-based techniques. A key feature of our system is that we utilize the large, high-density networks of parked vehicles incident to urban ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e4a1e86ffdfa50679caace3013c78f0
https://doi.org/10.1109/jiot.2018.2864590
https://doi.org/10.1109/jiot.2018.2864590
Autor:
Joe Naoum-Sawaya, Randy Cogill, Shravan Sajja, Pierpaolo Tommasi, Robert Shorten, Bissan Ghaddar, Nicole Taheri, Rudi Verago, Fabian Wirth
Publikováno v:
Transportation Research Part B: Methodological. 80:173-184
With the increasing fuel prices and the pressure towards greener modes of transportation, ridesharing has emerged as an alternative to private car ownership and public transportation. In this paper, we focus on a common destination ridesharing system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d91cca26ce4f3d0efb3c59c05eddbdeb
https://doi.org/10.1016/j.trb.2015.07.001
https://doi.org/10.1016/j.trb.2015.07.001
Autor:
Dermot Kinane, Stephen Lynch, Jakub Marecek, Elizabeth M. Daly, Nikolaos Panagiotou, Ioannis Katakis, Vana Kalogeraki, Hendrik Stange, Katharina Morik, Nikos Zacheilas, Brendan O'Brien, Jia Yuan Yu, Christian Bockermann, Ioannis Boutsis, François Schnitzler, Rudi Verago, Werner Halft, Thomas Liebig, Shie Mannor, Dimitrios Gunopulos, Avigdor Gal, Nico Piatkowski, Matthias Weidlich, Nikolas Zygouras, Gennady Andrienko
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319461304
ECML/PKDD (3)
ECML/PKDD (3)
In this demo we present INSIGHT, a system that provides traffic event detection in Dublin by exploiting Big Data and Crowdsourcing techniques. Our system is able to process and analyze input from multiple heterogeneous urban data sources.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::242df0e2247ef1b9975f2b66a8a27779
https://doi.org/10.1007/978-3-319-46131-1_5
https://doi.org/10.1007/978-3-319-46131-1_5
Publikováno v:
ICCVE
We introduce a novel application to detect tagged entities using a platform based on parked cars. We show experimental results based on real data from the city of Dublin.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a89a9d6878f8a7529d3a28666447ac36
https://doi.org/10.1109/iccve.2015.8
https://doi.org/10.1109/iccve.2015.8
Autor:
Rodrigo Ordonez, Rudi Verago, Wynita M. Griggs, Randall L. Cogill, Fabian Wirth, Chungmok Lee, Robert Shorten, Martin Rufli, Tigran T. Tchrakian, Sergiy Zhuk, Zubair Nabi, Olivier Gallay
Publikováno v:
ICCVE
We introduce a new view of parked cars as a massive, flexible resource that is currently wasted. Given the power supply in batteries as well as computing, communication, and sensing facilities in cars in conjunction with the precise localization they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6614206b532232ea58a15cafd73eadf8
https://doi.org/10.1109/iccve.2014.7297530
https://doi.org/10.1109/iccve.2014.7297530
Publikováno v:
Emerging Technologies and Information Systems for the Knowledge Society ISBN: 9783540877806
WSKS (1)
WSKS (1)
Eye Knowledge Network (EKN) aims at creating a complete framework for collaboration and interaction between eye care professionals. EKN exploits resources and concepts of Web 2.0 to set up a continuously growing "virtual library" of multimedia data (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed2513619af2e6f073dc192ef666ec77
https://doi.org/10.1007/978-3-540-87781-3_3
https://doi.org/10.1007/978-3-540-87781-3_3
Autor:
Chungmok Lee, R. Marinescu, Nicole Taheri, Martin Mevissen, S. A. van den Heever, Marco Laumanns, Ban Kawas, Rudi Verago, Ali Koc
Publikováno v:
IBM Journal of Research and Development. 58:12:1-12:13
Decision makers who use optimization technology to generate plans and schedules need to deal not only with high data volume, velocity, and variety, but also data veracity. This presents a significant challenge due to the uncertainty inherent in most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20452d8f1c4cbb8e74f3a767478caa51
https://doi.org/10.1147/jrd.2014.2346071
https://doi.org/10.1147/jrd.2014.2346071
Publikováno v:
University of Helsinki
NOMS
NOMS
Vehicular applications in smart cities, including assisted and autonomous driving, require complex data processing and low-latency communication. An effective approach to address these demands is to leverage the edge computing paradigm, wherein proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::904874615370dff39fd43dbf19929e3c
https://researchportal.helsinki.fi/en/publications/fb386bb4-1c6c-4277-b280-e2ab6ac12a41
https://researchportal.helsinki.fi/en/publications/fb386bb4-1c6c-4277-b280-e2ab6ac12a41