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Failure mode detection of reinforced concrete shear walls using ensemble deep neural networks
(Springer, 2022)
Reinforced concrete structural walls (RCSWs) are one of the most efficient lateral force-resisting systems used in buildings, providing sufficient strength, stiffness, and deformation capacities to withstand the forces ...
A deep learning framework for damage assessment of composite sandwich structures
(Hindawi, 2021)
The vibrational behavior of composite structures has been demonstrated as a useful feature for identifying debonding damage. The precision of the damage localization can be greatly improved by the addition of more measuring ...
MADDPG-Based security situational awareness for smart grid with intelligent edge
(MDPI, 2021)
Advanced communication and information technologies enable smart grids to be more intelligent and automated, although many security issues are emerging. Security situational awareness (SSA) has been envisioned as a potential ...
Deep learning anomaly detector for numerical relativistic waveforms
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM FÍSICA, 2023)
Bayesian recurrent neural networks for diagnosis of fault modes and prognosis of remaining useful life
(Universidad de Chile, 2020)
El aprendizaje profundo se ha convertido en un método prometedor para manejar grandes cantidades de datos de maquinaria y usarlo para determinar la vida útil restante o el estado de salud en el contexto de pronósticos y ...
Intelligent deep learning-enabled autonomous small ship detection and classification model
(Elsevier Ltd.United Kingdom, 2022)
Monitoreo de afluencia de personas utilizando aprendizaje profundo
(Universidad Autónoma de OccidenteIngeniería MecatrónicaDepartamento de Automática y ElectrónicaFacultad de Ingeniería, 2019-08-13)
Deep reinforcement learning for global maximum power point tracking: design and experiments in real PV systems
(Universidad de los AndesMaestría en Ingeniería Electrónica y de ComputadoresFacultad de IngenieríaDepartamento de Ingeniería Eléctrica y Electrónica, 2022-12-15)
To ensure the efficient operation of photovoltaic systems, the maximum power point (MPP) must be found under different environmental conditions using a maximum power point tracking (MPPT) algorithm. Conventional methods ...
Utilização de técnicas de deep learning para predição de desbalanceamento de massa em rotores de turbinas eólicas
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2022-08-15)
A source of clean, renewable and permanently abundant energy, wind electric energy has been increasingly sought after all over the world, both in academia and in the business sector, due to its very low environmental impact, ...