Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sérgio Manuel Costa Oliveira"'
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030406899
ICITS
ICITS
Nowadays, one of the biggest concerns of industries all over the world is situations regarding absenteeism, since it has a great impact on the productivity and economy of companies, as well as on the health of their employees. The major causes of abs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a59b61c59d736e5bf93cca3ab37d64f3
https://hdl.handle.net/1822/65907
https://hdl.handle.net/1822/65907
Autor:
Maria Alice Carvalho, Anabela Carvalho Alves, Irene Brito, Sérgio Manuel Costa Oliveira, Francisco Moreira, Senhorinha F. C. F. Teixeira, M. T. Malheiro, Celina Pinto Leão
Publikováno v:
Production, Volume: 29, Article number: e20180111, Published: 27 JUN 2019
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Production v.29 2019
Production
Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
Production, Vol 29
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Production v.29 2019
Production
Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
Production, Vol 29
Paper aims: This paper presents teachers and students perspectives of integration Science, Technology, Engineering and Mathematics (STEM) courses contents into the first year of Industrial Engineering and Management (IEM) program through Project-Base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bc2ec0b07f82c1552fa3547e1cab999
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100209&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100209&lng=en&tlng=en
Autor:
Sérgio Manuel Costa Oliveira, António Abelha, Manuel Filipe Santos, Álvaro Silva, José Machado, Fernando Rua, Filipe Portela
Publikováno v:
Ciência Vitae
The occurrence of Barotrauma is identified as a major concern for health professionals, since it can be fatal for patients. In order to support the decision process and to predict the risk of occurring barotrauma Data Mining models were induced. Base
Publikováno v:
2017 24º Encontro Português de Computação Gráfica e Interação (EPCGI).
From a simple entertainment activity to a learning tool, it is undeniable that video games are one of the most active and relevant areas in today's society. Since their inception, video games experienced an evolution unmatched by almost any other are
Autor:
José Machado, Filipe Portela, Manuel Filipe Santos, António Abelha, Sérgio Manuel Costa Oliveira
Publikováno v:
New Advances in Information Systems and Technologies ISBN: 9783319313061
WorldCIST (2)
WorldCIST (2)
The data acquisition process in real-time is fundamental to provide appropriate services and improve health professionals decision. In this paper a pervasive adaptive data acquisition architecture of medical devices (e.g. vital signs, ventilators and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd60e6ac7706e83fbd069c6b1af72ea8
https://doi.org/10.1007/978-3-319-31307-8_59
https://doi.org/10.1007/978-3-319-31307-8_59
Autor:
Patrícia R. Pinto, Sérgio Manuel Costa Oliveira, Kristian Bisgaard Lassen, Marco Couto, Ricardo J. Machado
Publikováno v:
Machado, R J, Lassen, K B, Oliveira, S, Couto, M & Pinto, P 2007, ' Requirements Validation: Execution of UML Models with CPN Tools ', International Journal on Software Tools for Technology Transfer .
Udgivelsesdato: 3/13 Requirements validation is a critical task in any engineering project. The confrontation of stakeholders with static requirements models is not enough, since stakeholders with non-computer science education are not able to discov
Autor:
Sérgio Manuel Costa Oliveira, Filipe Portela, Fernando Rua, Manuel Filipe Santos, Álvaro Silva, António Abelha, José Machado
Publikováno v:
Ciência Vitae
Progress in Artificial Intelligence ISBN: 9783319234847
EPIA
Progress in Artificial Intelligence ISBN: 9783319234847
EPIA
Predicting barotrauma occurrence in intensive care patients is a difficult task. Data Mining modelling can contribute significantly to the identification of patients who will suffer barotrauma. This can be achieved by grouping patient data, consideri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd021325d827bd49c799fe9dc9b1ee99
https://hdl.handle.net/1822/39279
https://hdl.handle.net/1822/39279
Autor:
António Abelha, Manuel Filipe Santos, José Machado, Filipe Portela, Sérgio Manuel Costa Oliveira
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319265070
AmIHEALTH
AmIHEALTH
Hospitals have multiple data sources, such as embedded systems, monitors and sensors. The number of data available is increasing and the information are used not only to care the patient but also to assist the decision processes. The introduction of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::790af67bba5930a22b3603319cb90ef0
https://doi.org/10.1007/978-3-319-26508-7_9
https://doi.org/10.1007/978-3-319-26508-7_9
Publikováno v:
ICCSA (Workshops/Short Papers/Posters)
Empirical studies are important in software engineering to evaluate new tools, techniques, methods and technologies in a structured way before they are introduced in the industrial (real) software process. Perform empirical studies in a real context
Autor:
António Abelha, José Machado, Sérgio Manuel Costa Oliveira, Filipe Portela, Manuel Filipe Santos
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319059471
WorldCIST (2)
WorldCIST (2)
Series : Advances in intelligent systems and computing, vol. 276
It is clear that the failures found in hospital management are usually related to the lack of information and insufficient resources management. The use of Data Mining (DM) can con
It is clear that the failures found in hospital management are usually related to the lack of information and insufficient resources management. The use of Data Mining (DM) can con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::151cd4381cce3ef918021cb349ea7ce3
https://hdl.handle.net/1822/30778
https://hdl.handle.net/1822/30778