Zobrazeno 1 - 10
of 30
pro vyhledávání: '"José Saias"'
Autor:
Paulo Infante, Gonçalo Jacinto, Daniel Santos, Pedro Nogueira, Anabela Afonso, Paulo Quaresma, Marcelo Silva, Vitor Nogueira, Leonor Rego, José Saias, Patrícia Góis, Paulo R. Manuel
Publikováno v:
Information, Vol 14, Iss 4, p 238 (2023)
Road Traffic Accidents (RTA) cause human losses and irreparable physical and psychological damage to many of the victims. They also involve a very relevant economic dimension. It is urgent to improve the management of human and material resources for
Externí odkaz:
https://doaj.org/article/39077a18fe3240068187cec976c8528d
Autor:
Pedro Nogueira, Marcelo Silva, Paulo Infante, Vitor Nogueira, Paulo Manuel, Anabela Afonso, Gonçalo Jacinto, Leonor Rego, Paulo Quaresma, José Saias, Daniel Santos, Patricia Gois
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 3, p 93 (2023)
Road traffic accidents are a major concern for modern society with a high toll on human life and involve hard to account economic consequences. New knowledge can be obtained from combining GIS tools with machine learning and artificial intelligence,
Externí odkaz:
https://doaj.org/article/2c87069f2e324eeda426f14dbaab169c
Autor:
Paulo Infante, Gonçalo Jacinto, Anabela Afonso, Leonor Rego, Vitor Nogueira, Paulo Quaresma, José Saias, Daniel Santos, Pedro Nogueira, Marcelo Silva, Rosalina Pisco Costa, Patrícia Gois, Paulo Rebelo Manuel
Publikováno v:
Computers, Vol 11, Iss 5, p 80 (2022)
Portugal has the sixth highest road fatality rate among European Union members. This is a problem of different dimensions with serious consequences in people’s lives. This study analyses daily data from police and government authorities on road tra
Externí odkaz:
https://doaj.org/article/9908e8c173f54987a3dddd11de49724d
Publikováno v:
Information, Vol 13, Iss 5, p 227 (2022)
The digital world is very dynamic. The ability to timely identify possible vendor migration trends or customer loss risks is very important in cloud-based services. This work describes a churn risk prediction system and how it can be applied to guide
Externí odkaz:
https://doaj.org/article/29fd2714ea1c4798918151dbde8d1297
Publikováno v:
Computers, Vol 10, Iss 12, p 157 (2021)
Traffic accidents are one of the most important concerns of the world, since they result in numerous casualties, injuries, and fatalities each year, as well as significant economic losses. There are many factors that are responsible for causing road
Externí odkaz:
https://doaj.org/article/5ebd57ff8cf44fd6b51a90dfefc9f8e8
Autor:
Paulo Infante, Gonçalo Jacinto, Anabela Afonso, Leonor Rego, Pedro Nogueira, Marcelo Silva, Vitor Nogueira, José Saias, Paulo Quaresma, Daniel Santos, Patrícia Góis, Paulo Rebelo Manuel
Publikováno v:
Sustainability; Volume 15; Issue 3; Pages: 2352
Road traffic accidents (RTAs) are a problem with repercussions in several dimensions: social, economic, health, justice, and security. Data science plays an important role in its explanation and prediction. One of the main objectives of RTA data anal
Autor:
Paulo Infante, Vitor Nogueira, Paulo Rebelo Manuel, Patrícia Góis, Anabela Afonso, Daniel Santos, Gonçalo Jacinto, José Saias, Leonor Rego, Marcelo Silva, Nuno Carocha Gonçalves, Paulo Rebisco, Paulo Quaresma, Pedro Nogueira, Rosalina Pisco Costa, Rui Clemente
Road Traffic Accidents (RTA) are one of the greatest calamities of our time, due to the human losses and to the irreparable physical and psychological damage they cause to several victims, also involving a very relevant economic dimension. To scienti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a85c2ecf9ce4f936757e4adba3f16a
https://doi.org/10.24902/uevora.33
https://doi.org/10.24902/uevora.33
Autor:
Paulo Infante, Gonçalo Jacinto, Daniel Santos, Pedro Nogueira, Anabela Afonso, Marcelo Silva, Vitor Nogueira, Leonor Rego, Paulo Quaresma, José Saias, Patrícia Gois, Paulo Rebelo Manuel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15def5224e5e7f0e57cd90681c51b50f
https://doi.org/10.2139/ssrn.4334671
https://doi.org/10.2139/ssrn.4334671
Autor:
Alberto Cardoso, Luis Rato, Pedro Lucas, Bernardete Ribeiro, Jorge Sa Silva, Daniel Coutinho, Filipe Araujo, Pedro Salgueiro, Vítor Beires Nogueira, Joel P. Arrais, José Saias, Paulo Gil, Catarina Silva
Publikováno v:
International Journal of Online and Biomedical Engineering, Vol 16, Iss 04, Pp 51-62 (2020)
With the raising of environmental concerns regarding pollution, interest in monitoring air quality is increasing. However, air pollution data is mostly originated from a limited number of government-owned sensors, which can only capture a small fract
Publikováno v:
Information; Volume 13; Issue 5; Pages: 227
The digital world is very dynamic. The ability to timely identify possible vendor migration trends or customer loss risks is very important in cloud-based services. This work describes a churn risk prediction system and how it can be applied to guide