Zobrazeno 1 - 6
of 6
pro vyhledávání: '"José Sales Dias"'
Publikováno v:
Buildings, Vol 12, Iss 28, p 28 (2022)
The problem of energy consumption and the importance of improving existing buildings’ energy performance are notorious. This work aims to contribute to this improvement by identifying the latest and most appropriate machine learning or statistical
Publikováno v:
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Anastasiadou, M., Santos, V., & Dias, M. S. (2021). Evaluating Energy Performance Certificate Data with Data Science. In 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1-5). IEEE. https://doi.org/10.1109/I
Publikováno v:
Advances in Engineering Software. 39:505-513
This paper examines a methodology for computing the probability of structural failure by combining neural networks (NN) and Monte Carlo simulation (MCS). MCS is a powerful tool, simple to implement and capable of solving a broad range of reliability
Autor:
Renata Vieira, Olga Craveiro, Isabel Trancoso, Lucelene Lopes, Paulo Quaresma, Magali Duran, Carolina Scarton, Teresa Gonçalves, Joaquim Macedo, Fernando Perdigao, José Sales Dias, Jorge Baptista, Cassia Trojahn, Roque Lopez, Ilia Markov, Brett Drury, Ariani Di-Felippo, Alberto Abad, Alan Demétrius Baria Valejo, Jorge Proença, João Lemos, Jorge C. Valverde-Rebaza, Sandra Maria Aluisio, Oto Araújo Vale, Henrique Madeira, Amália Mendes, Eugénio Oliveira, Valeria De Paiva, Aline Villavicencio, Nuno Mamede, Annika Hämäläinen, Márcio Dias, Vladia Pinheiro
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319097602
The correct automatic pronunciation of words is a nontrivial problem, even for inflexions of Portuguese verbs, and has not been systematically solved yet, if verbal irregularity is taken into account. The purpose of this work is to enhance a grapheme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f9957e1215f4df2e7eba7f6e81fea2d
https://doi.org/10.1007/978-3-319-09761-9
https://doi.org/10.1007/978-3-319-09761-9
Publikováno v:
Third International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'07).
This paper outlines the key factors affecting the consumer behavior for digital music; grouped into socio-demographical, economical, experience, cultural, risk, technology and Digital Rights Management (DRM). We present then the data collection proce
Autor:
Sibila Marques, José Sales Dias
Publikováno v:
The Gerontologist. 55:504-504