Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Demetrios Zeinalipour-Yazti"'
Autor:
Jiseon Moon, Christos Laoudias, Ran Guan, Sunwoo Kim, Demetrios Zeinalipour-Yazti, Christos G. Panayiotou
Publikováno v:
IEEE Internet of Things Journal. 10:9690-9702
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0164f6eedf6ab58bfa6e99214ca21b44
https://doi.org/10.1109/jiot.2023.3235921
https://doi.org/10.1109/jiot.2023.3235921
Publikováno v:
IEEE Internet Computing. 27:34-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776bc0549539f2104b811250f6aa0e8c
https://doi.org/10.1109/mic.2022.3164581
https://doi.org/10.1109/mic.2022.3164581
In this paper we present the design and utility of a Smart Alert System (SMAS) for quick first response and effective fighting of fires in their initial stages on roll-on / roll-off (ro-ro) vessels. Given that localization within the steel structures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41ff42b3b207a71062277a3bfbce1c43
Publikováno v:
Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62827d2a1ee25d06df0de7bab979feff
https://doi.org/10.1145/3524860.3544831
https://doi.org/10.1145/3524860.3544831
Publikováno v:
Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e99063c0f039cf244b0eff1f48e3741a
https://doi.org/10.1145/3524860.3543282
https://doi.org/10.1145/3524860.3543282
Publikováno v:
2022 23rd IEEE International Conference on Mobile Data Management (MDM)
In this demonstration paper, we present an innovative indoor localization architecture, coined Anyplace Computer Vision (AnyplaceCV), which provides an infrastructure-free (or “zero” infrastructure) method to localize in indoor spaces that lack a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e7f7d36d6a8a793ebaf956319d96584
https://doi.org/10.1109/mdm55031.2022.00062
https://doi.org/10.1109/mdm55031.2022.00062
Autor:
Soteris Constantinou, Andreas Pamboris, Rafael Alexandrou, Christoforos Kronis, Demetrios Zeinalipour-Yazti, Harris Papadopoulos, Andreas Konstantinidis
Publikováno v:
2022 23rd IEEE International Conference on Mobile Data Management (MDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::339ff664bfb49de4674cbc3ddbe4a010
https://doi.org/10.1109/mdm55031.2022.00069
https://doi.org/10.1109/mdm55031.2022.00069
Autor:
Konstantinos Pelechrinis, Demetrios Zeinalipour-Yazti, Panos K. Chrysanthis, Mohamed A. Sharaf, Xiaoyu Ge
Publikováno v:
ACM Transactions on Internet Technology. 20:1-32
Traditional venue and tour recommendation systems do not necessarily provide a diverse set of recommendations and leave little room for serendipity . In this article, we design MPG, a Mobile Personal Guide that recommends: (i) a set of diverse yet su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a7a381f654d83d96121cf6f5d609bc2
https://doi.org/10.1145/3391197
https://doi.org/10.1145/3391197
Autor:
Chrysovalantis Anastasiou, Constantinos Costa, Panos K. Chrysanthis, Cyrus Shahabi, Demetrios Zeinalipour-Yazti
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems, Volume 8
The fight against the COVID-19 pandemic has highlighted the importance and benefits of recommending paths that reduce the exposure to and the spread of the SARS-CoV-2 coronavirus by avoiding crowded indoor or outdoor areas. Existing path discovery te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01133769ffa81ab119b068cc3ea753df
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems. 8:1-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f636b314c5066fd7b0f23350869998a5
https://doi.org/10.1145/3514137
https://doi.org/10.1145/3514137