Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Vinicius Monteiro de Lira"'
1
Understanding evolution of maritime networks from automatic identification system data
Autor: Amilcar Soares, Emanuele Carlini, Stan Matwin, Vinicius Monteiro de Lira, Mohammad Etemad, Bruno Brandoli
Publikováno v: Geoinformatica (Dordrecht) (2021). doi:10.1007/s10707-021-00451-0
info:cnr-pdr/source/autori:Carlini E.; de Lira V.M.; Soares A.; Etemad M.; Brandoli B.; Matwin S./titolo:Understanding evolution of maritime networks from automatic identification system data/doi:10.1007%2Fs10707-021-00451-0/rivista:Geoinformatica (Dordrecht)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume
Recent studies on maritime traffic model the interplay between vessels and ports as a graph, which is often built using automatic identification system (AIS) data. However, only a few works explicitly study the evolution of such graphs and, when they
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::135c32030ef1d8504503ae1ca0c9b9d7
http://www.cnr.it/prodotto/i/461476
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2
Predicting the next location for trajectories from stolen vehicles
Autor: Jose S. Da Silva Neto, Ticiana L. Coelho Da Silva, Livia Almada Cruz, Vinicius Monteiro de Lira, Jose Antonio F. de Macedo, Regis Pires Magalhaes, Lucas Gaspar Peres
Publikováno v: ICTAI 2021-IEEE 33rd International Conference on Tools with Artificial Intelligence, Washington, DC, USA, 1-3/11/2021
info:cnr-pdr/source/autori:Da Silva Neto J.S.; Coelho Da Silva T.L.; Cruz L.A.; Monteiro de Lira V.; José Antônio F. de Macêdo José A.F.; Magalh R.P./congresso_nome:ICTAI 2021-IEEE 33rd International Conference on Tools with Artificial Intelligence/congresso_luogo:Washington, DC, USA/congresso_data:1-3%2F11%2F2021/anno:2021/pagina_da:/pagina_a:/intervallo_pagine
Neural Networks (NN), although successfully applied to several Artificial Intelligence tasks, are often unnecessarily over-parametrized. In edge/fog computing, this might make their training prohibitive on resource-constrained devices, contrasting wi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea78e31283ce24e6a3b441eafe179fa6
https://openportal.isti.cnr.it/doc?id=people______::29c61ca9414d22fd89461c13f28a8556
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3
Transitive Halifax: an activity-based search engine for bus routes
Autor: Amilcar Soares, Jinkun Chen, Fernando V. Paulovich, Vinicius Monteiro de Lira
Publikováno v: MDM 2021-22nd IEEE International Conference on Mobile Data Management, pp. 233–235, Toronto, ON, Canada, 15-18/06/2021
info:cnr-pdr/source/autori:Jinkun C.; Monteiro de Lira V.; Paulovich F.V.; Soares A./congresso_nome:MDM 2021-22nd IEEE International Conference on Mobile Data Management/congresso_luogo:Toronto, ON, Canada/congresso_data:15-18%2F06%2F2021/anno:2021/pagina_da:233/pagina_a:235/intervallo_pagine:233–235
MDM
Transitive Halifax is an activity-oriented mobility service that allows users to search for bus routes toward places where they can perform their desired activities. The service is based on the observation that individuals often go to a place to cond
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::930da7d0bda5cb87cc4e0b3cf6023325
https://openportal.isti.cnr.it/doc?id=people______::25ee2457867e8cb3065b673466588534
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4
BigDataGrapes D4.4 - Resource Optimization Methods and Algorithms
Autor: Vinicius Monteiro de Lira, Cristina Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Roberto Trani, Salvatore Trani
This accompanying document for deliverable “D4.4 Resource Optimization Methods and Algorithms” describes new research tools to manage distributed big data platforms that will be used in the BigDataGrapes (BDG) platform to optimize computing resou
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5
POLAr: Geographic Placement Optimization for Latency Sensitive Applications
Autor: Carlini Emanuele, Vinicius Monteiro de Lira, Patrizio Dazzi
Publikováno v: MDM
The 20th IEEE International Conference on Mobile Data Management (MDM 2019), pp. 361–362, 10-13/06/2019
info:cnr-pdr/source/autori:Monteiro De Lira V. C.; Carlini E.; Dazzi P./congresso_nome:The 20th IEEE International Conference on Mobile Data Management (MDM 2019)/congresso_luogo:/congresso_data:10-13%2F06%2F2019/anno:2019/pagina_da:361/pagina_a:362/intervallo_pagine:361–362
To assure a timely fruition of media and interactive applications to end users is a complex challenge, especially when potentially spread worldwide, at home or in mobility. It in fact requires a careful placement of the software services on the right
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b9977a7c01c7546d92c2cba97ac30a8
https://doi.org/10.1109/mdm.2019.00-31
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6
Mining human mobility data and social media for smart ride sharing
Autor: Vinicius Monteiro de Lira
Publikováno v: MDM 2019-20th IEEE International Conference on Mobile Data Management, pp. 385–386, Hong Kong, China, 10-13 June, 2019
info:cnr-pdr/source/autori:Monteiro de Lira V./congresso_nome:MDM 2019-20th IEEE International Conference on Mobile Data Management/congresso_luogo:Hong Kong, China/congresso_data:10-13 June, 2019/anno:2019/pagina_da:385/pagina_a:386/intervallo_pagine:385–386
MDM
People living in highly-populated cities increasingly suffer an impoverishment of their quality of life due to pollution and traffic congestion problems caused by the huge number of circulating vehicles. Indeed, the reduction the number of circulatin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbcf389f8aed63b45cde3ee3d02933cc
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7
Event attendance classification in social media
Autor: Craig Macdonald, Chiara Renso, Valéria Cesário Times, Iadh Ounis, Vinicius Monteiro de Lira, Raffaele Perego
Publikováno v: Information processing & management 56 (2019): 687–703. doi:10.1016/j.ipm.2018.11.001
info:cnr-pdr/source/autori:de Lira V.M.; Macdonald C.; Ounis I.; Perego R.; Renso C.; Cesario Times V./titolo:Event attendance classification in social media/doi:10.1016%2Fj.ipm.2018.11.001/rivista:Information processing & management/anno:2019/pagina_da:687/pagina_a:703/intervallo_pagine:687–703/volume:56
Popular events are well reflected on social media, where people share their feelings and discuss their experiences. In this paper, we investigate the novel problem of exploiting the content of non-geotagged posts on social media to infer the users’
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3cd275f4c7cfce5b38b1e4397cd27b1
https://openportal.isti.cnr.it/doc?id=people______::39a7f2b3d9b3eeac3c6a317a6d0c2f10
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8
Boosting Ride Sharing With Alternative Destinations
Autor: Valéria Cesário Times, Salvatore Rinzivillo, Raffaele Perego, Chiara Renso, Vinicius Monteiro de Lira
Publikováno v: IEEE Transactions on Intelligent Transportation Systems
IEEE transactions on intelligent transportation systems
19 (2018): 2290–2300. doi:10.1109/TITS.2018.2836395
info:cnr-pdr/source/autori:de Lira V.M.; Perego R.; Renso C.; Rinzivillo S.; Times V. C./titolo:Boosting Ride Sharing With Alternative Destinations/doi:10.1109%2FTITS.2018.2836395/rivista:IEEE transactions on intelligent transportation systems (Print)/anno:2018/pagina_da:2290/pagina_a:2300/intervallo_pagine:2290–2300/volume:19
People living in highly populated cities increasingly experience decreased quality of life due to pollution and traffic congestion. With the objective of reducing the number of circulating vehicles, we investigate a novel approach to boost ride-shari
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46ce7a36cf6837b5d69cc7c48de898ee
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9
Exploring social media for event attendance
Autor: Valéria Cesário Times, Raffaele Perego, Craig Macdonald, Vinicius Monteiro de Lira, Iadh Ounis, Chiara Renso
Publikováno v: ASONAM '17-IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 447–450, Sydney, Australia, July 31-August 03, 2017
ASONAM
info:cnr-pdr/source/autori:Monteiro de Lira V.; Macdonald C.; Ounis I.; Perego R.; Renso C.; Cesario Times V./congresso_nome:ASONAM '17-IEEE%2FACM International Conference on Advances in Social Networks Analysis and Mining/congresso_luogo:Sydney, Australia/congresso_data:July 31-August 03, 2017/anno:2017/pagina_da:447/pagina_a:450/intervallo_pagine:447–450
Large popular events are nowadays well reflected in social media fora (e.g. Twitter), where people discuss their interest in participating in the events. In this paper we propose to exploit the content of non-geotagged posts in social media to build
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f1389ac8fa6879ebed3c9ee52d5b919
https://openportal.isti.cnr.it/doc?id=people______::e037f1303fdc88316cccd9b6ef3666c3
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10
User behavior and application modeling in decentralized edge cloud infrastructures
Autor: Baseem Al-athwari, John Violos, Antonia Schwichtenberg, Patrizio Dazzi, Konstantinos Tserpes, Young-Woo Jung, Jörn Altmann, Theodora Varvarigou, Vinicius Monteiro de Lira
Publikováno v: GECON 2017-14th International Conference on the Economics of Grids, Clouds, Systems, and Services, pp. 193–203, Biarritz, France, 19-21 September, 2017
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Economics of Grids, Clouds, Systems, and Services
info:cnr-pdr/source/autori:Violos J.; Monteiro de Lira V.; Dazzi P.; Altmann J.; Al-Athwari B.; Schwichtenberg A.; Jung, Y.W.; Varvarigou T.; Tserpes K./congresso_nome:GECON 2017-14th International Conference on the Economics of Grids, Clouds, Systems, and Services/congresso_luogo:Biarritz, France/congresso_data:19-21 September, 2017/anno:2017/pagina_da:193/pagina_a:203/intervallo_pagine:193–203
Economics of Grids, Clouds, Systems, and Services ISBN: 9783319680651
GECON
Economics of Grids, Clouds, Systems, and Services. GECON 2017. Lecture Notes in Computer Science
Edge computing has emerged as a solution that can accommodate complex application requirements by shifting data and computation to infrastructure elements that are more suitable to manage them given the current circumstances. The BASMATI Knowledge Ex
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6751fe05bcd06b8b893d61a37c663e51
https://openportal.isti.cnr.it/doc?id=people______::a789357f590e0396a3fb7195be842c8f
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