Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jose Mendoza-Bernal"'
Publikováno v:
IEEE Transactions on Industry Applications. 59:26-37
Human activities and city routines follow patterns. Transfer learning can help achieve scalable solutions towards the realisation of smart cities accounting for similarities between regions, domains, and activities. In this study, we propose a Transf
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Aurora González-Vidal, Jose Mendoza-Bernal, Antonio F. Skarmeta-Gomez, Punit Rathore, Aravinda S. Rao, Marimuthu Palaniswami
Publikováno v:
IEEE Internet of Things Journal
Internet of Things (IoT) enables the seamless integration of sensors, actuators, and communication devices for real-time applications. IoT systems require good quality sensor data in order to make real-time decisions. However, values are often missin
Autor:
Aurora González-Vidal, José Mendoza-Bernal, Alfonso P. Ramallo, Miguel Ángel Zamora, Vicente Martínez, Antonio F. Skarmeta
Publikováno v:
Agriculture, Vol 12, Iss 10, p 1729 (2022)
The purpose of our work is to leverage the use of artificial intelligence for the emergence of smart greenhouses. Greenhouse agriculture is a sustainable solution for food crises and therefore data-based decision-support mechanisms are needed to opti
Externí odkaz:
https://doaj.org/article/a9042e6ff5744c189b53ea0b7881ec8c