Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maria Lua Nunes"'
Autor:
Maria Lua Nunes, Duarte Folgado, Carlos Fujao, Luis Silva, Joao Rodrigues, Pedro Matias, Marilia Barandas, Andre V. Carreiro, Sara Madeira, Hugo Gamboa
Publikováno v:
IEEE Access, Vol 10, Pp 83221-83235 (2022)
Musculoskeletal disorders (MSD) are a highly prevalent work-related health problem. Biomechanical exposure to hazardous postures during work is a risk factor for the development of MSD. This study focused on developing an inertial sensor-based approa
Externí odkaz:
https://doaj.org/article/0b58100b5ab743dcbbc1f1b04910205d
Autor:
Duarte Folgado, Marília Barandas, Margarida Antunes, Maria Lua Nunes, Hui Liu, Yale Hartmann, Tanja Schultz, Hugo Gamboa
Publikováno v:
SoftwareX, Vol 18, Iss , Pp 101049- (2022)
Subsequence search and distance measures are crucial tools in time series data mining. This paper presents our Python package entitled TSSEARCH, which provides a comprehensive set of methods for subsequence search and similarity measurement in time s
Externí odkaz:
https://doaj.org/article/492e6ffd3a4d489f86f7b2d6669ee270
Publikováno v:
ACM SIGKDD Explorations Newsletter. 24:105-113
Industry and Quality 4.0 pose the opportunity to integrate artificial intelligence-based technology into the quality management of products/services. Particularly, quality control procedures of tableware ceramics require a demanding and faulty human
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf0fc58fc27292a766720d4bfb0d752
https://doi.org/10.1145/3575637.3575653
https://doi.org/10.1145/3575637.3575653
Autor:
Diogo Carvalho, Luis Silva, Miguel Carvalho, Mariana Dias, Nélson Costa, Duarte Folgado, Maria Lua Nunes, Hugo Gamboa, Kristine Andza, Elazer Edelman
Publikováno v:
Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy.
Fatigue during repetitive tasks in the workplace has been intrinsically connected with occupational risk and a reduction in productivity. Currently, the measures taken are based on subjective interpretations of fatigue by the workers or on direct mus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36958bb3d6332d0a5ec158dd85213416
https://doi.org/10.54941/ahfe1002833
https://doi.org/10.54941/ahfe1002833
Autor:
Cristiana Fernandes, Luis Miguel Matos, Duarte Folgado, Maria Lua Nunes, Joao Rui Pereira, Andre Pilastri, Paulo Cortez
Nowadays, manufacturing industries still face difficulties applying traditional Work-related MusculoSkeletal Disorders (WMSDs) risk assessment methods due to the high effort required by a continuous data collection when using observational methods. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147c5d28538e6cafaac8bd34f8d588ac
https://hdl.handle.net/1822/81444
https://hdl.handle.net/1822/81444
