Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Vera L. Miguéis"'
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3416 (2023)
Automatic Root Cause Analysis solutions aid analysts in finding problems’ root causes by using automatic data analysis. When trying to locate the root cause of a problem in a manufacturing process, an issue-denominated overlap can occur. Overlap ca
Externí odkaz:
https://doaj.org/article/5a85d08bed1a4e24b4eeaed7537dcacc
Publikováno v:
U.Porto Journal of Engineering, Vol 3, Iss 2, Pp 34-48 (2017)
This paper describes a study on applying data mining techniques to power transformer failure prediction. The data set used consisted not only on DGA tests, but also in other tests done to the transformer’s insulating oil. This dataset presented sev
Externí odkaz:
https://doaj.org/article/13ef24aa622343e5a244a72a8dc106e4
Publikováno v:
Expert Systems with Applications. 207:117974
Autor:
Ines Cesar, Ivo Pereira, Fatima Rodrigues, Vera L. Migueis, Susana Nicola, Ana Madureira, Jose Luis Reis, Jose Paulo Marques Dos Santos, Daniel Alves de Oliveira
Publikováno v:
IEEE Access, Vol 12, Pp 111943-111961 (2024)
The intrinsic challenges of contemporary marketing encourage discovering new approaches to engage and retain customers effectively. As the main channels of interactions between customers and brands pivot between the physical and the digital world, an
Externí odkaz:
https://doaj.org/article/33d2022f0bbe4c89a266f8cd8d524810
Autor:
Vera L. Miguéis, Jorge Teixeira, João Falcão e Cunha, Marta Campos Ferreira, Henriqueta Nóvoa
Publikováno v:
Exploring Service Science ISBN: 9783030387235
IESS
IESS
In celebration of the 10th anniversary of the International Conference on Exploring Service Science (IESS), this paper takes a historical look at the papers that have been published in the IESS proceedings. The analysis is focused on the development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::276f61f483b5ccdc6a3bfb2971b24254
https://doi.org/10.1007/978-3-030-38724-2_24
https://doi.org/10.1007/978-3-030-38724-2_24
Autor:
Vera L. Miguéis, Ricardo Teixeira
Publikováno v:
Exploring Service Science ISBN: 9783030387235
IESS
IESS
It is imperative that online companies have a complete in-depth understanding of online behavior in order to provide a better service to their customers. This paper proposes a model for real-time basket addition in the e-grocery sector that includes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dbd1780014ada60f57455df0fda6827
https://doi.org/10.1007/978-3-030-38724-2_9
https://doi.org/10.1007/978-3-030-38724-2_9
Publikováno v:
Structural and Institutional Transformations in Doctoral Education ISBN: 9783030380458
The chapter aims to launch a discussion about quality assurance (QA) in doctoral education in general and its external component in particular. Based on the analysis of the European context, it starts with an overview of the dynamics inherent to QA i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::619066fc2038804b1a5d3572a456d70b
https://doi.org/10.1007/978-3-030-38046-5_5
https://doi.org/10.1007/978-3-030-38046-5_5