Zobrazeno 1 - 10
of 231
pro vyhledávání: '"LSTM neural networks"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
In the contemporary realm of industry, the imperative for influential and steadfast systems to detect anomalies is critically recognized. Our study introduces a cutting-edge approach utilizing a deep learning model of the Long-Short Term Memory varie
Externí odkaz:
https://doaj.org/article/7c7c2c6dc93b4f32806e9246cc964e99
Publikováno v:
In International Journal of Hydrogen Energy 4 November 2024 89:66-83
Autor:
José Fernando Noguera-Polania, Aldo de Jesús Daconte-Blanco, José David Moreu-Ceballos, Camilo José Linero-Ospino, Ronald Steward Munera-Luque, Pablo César Guevara-Barbosa
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia (2024)
Mango cultivation in Colombia faces the impact of regional climate variability. To improve fruit development and minimize environmental and economic effects, it is necessary to implement efficient irrigation and appropriate water management technolog
Externí odkaz:
https://doaj.org/article/06755da7adf2421198c484bfa0eab74d
Publikováno v:
IEEE Access, Vol 12, Pp 153089-153104 (2024)
In Advanced Metering Infrastructure (AMI) networks, Smart Meters (SMs), are installed at consumers’ houses, provide electric utilities with fine-grained power consumption data necessary for accurate billing, load monitoring, and energy management.
Externí odkaz:
https://doaj.org/article/5d4183bb057640d4b28a7847c06e64dd
Publikováno v:
IEEE Access, Vol 12, Pp 99526-99536 (2024)
Improvement possibilities of industrial systems are driven by Industrial Internet of Things (IIoT) and Industry 4.0 concepts. The basic enablers are related to interoperation, and some efficiency and safety increasing solutions may be direct outcomes
Externí odkaz:
https://doaj.org/article/52d6f500cc0f414e945e6062081985c6
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 11, Pp 20155-20187 (2023)
A continuous-time exhaustive-limited (K = 2) two-level polling control system is proposed to address the needs of increasing network scale, service volume and network performance prediction in the Internet of Things (IoT) and the Long Short-Term Memo
Externí odkaz:
https://doaj.org/article/019d53ad69c34e7287e8e82684ebce9b
Publikováno v:
In Sustainable Energy, Grids and Networks June 2024 38
Autor:
Sangiorgio, Matteo ⁎, Guariso, Giorgio
Publikováno v:
In Environmental Modelling and Software June 2024 177
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1464 (2024)
This paper describes a Long Short-Term Memory (LSTM) neural network model used to simulate the dynamics of the OC3 reference design of a Floating Offshore Wind Turbine (FOWT) spar unit. It crafts an advanced neural network with an encoder–decoder a
Externí odkaz:
https://doaj.org/article/ce0d92f14c694077b4749ebcf4f34924
Autor:
Mandis, Marta a, Baratti, Roberto a, Chebeir, Jorge b, Tronci, Stefania a, ⁎, Romagnoli, José A. b
Publikováno v:
In Computers and Chemical Engineering April 2024 183