Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Jo Ueyama"'
Autor:
Felipe Taliar Giuntini, Kaue L. de Moraes, Mirela T. Cazzolato, Luziane de Fatima Kirchner, Maria de Jesus D. Dos Reis, Agma J. M. Traina, Andrew T. Campbell, Jo Ueyama
Publikováno v:
IEEE Access, Vol 9, Pp 93182-93194 (2021)
The way users interact on social media can indicate their well-being. When depressed, people’s feelings tend to be more evident, affecting how users interact and demonstrating their feelings on social media. This paper presents a new approach for t
Externí odkaz:
https://doaj.org/article/64af8f4056574d1e9da5da689ede2c27
Autor:
Felipe Taliar Giuntini, Kaue L. P. de Moraes, Mirela T. Cazzolato, Luziane de Fatima Kirchner, Maria de Jesus D. Dos Reis, Agma J. M. Traina, Andrew T. Campbell, Jo Ueyama
Publikováno v:
IEEE Access, Vol 9, Pp 97621-97635 (2021)
Depression is one of the most growing health disorders, generating social and economic problems. The affective computing models focus on analyzing unique user posts, not observing temporal behavior patterns, which are essential to track changes and t
Externí odkaz:
https://doaj.org/article/5f870a39207849bb99a84095b2e77bc7
Autor:
Felipe Taliar Giuntini, Larissa Pires Ruiz, Luziane De Fatima Kirchner, Denise Aparecida Passarelli, Maria De Jesus Dutra Dos Reis, Andrew Thomas Campbell, Jo Ueyama
Publikováno v:
IEEE Access, Vol 7, Pp 53909-53921 (2019)
The recognition of emotions and feelings through computer technology and devices has been widely explored in recent years. Social networks have become a natural environment in which users express their feelings and opinions through social media, and
Externí odkaz:
https://doaj.org/article/082c349514a446d39eebf95162e480d9
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 9 (2013)
Externí odkaz:
https://doaj.org/article/2dac085eb3a04f3ab205850a190bb7b9
Publikováno v:
IEEE Transactions on Network and Service Management. 19:3781-3793
Publikováno v:
2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7740229737c239120f9128bccbebb4a
Publikováno v:
ACM Computing Surveys; Jan2022, Vol. 54 Issue 1, p1-46, 46p, 9 Diagrams, 5 Charts
Publikováno v:
SBRC
The most electrical power suppliers to recruit meter readers to carry out collection of power consumption of the consumers. This activity is done manually and can provide error and cause financial and physical losses. Solutions have been proposed in
Publikováno v:
2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA).