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A Reference Architecture based on Reflection for Self-adaptive Software
(Ieee, 2013-01-01)
Self-adaptive Software (SaS) presents specific characteristics compared to traditional ones, as it makes possible adaptations to be incorporated at runtime. These adaptations, when manually performed, normally become an ...
Hardware architecture for adaptive filtering based on energy-CFAR processor for radar target detection
(IEICE Electronics Express, 2010)
Hardware architecture for adaptive filtering based on energy-CFAR processor for radar target detection
(IEICE Electronics Express, 2010)
REMEDY: architectural conformance checking for adaptive systems
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2021-11-12)
Adaptive Systems (ASs) evaluate their own behavior and change it when the evaluation indicates it is not accomplishing the established goals, or when better functionality or performance is possible. Nowadays these kind of ...
Virtual plants: modeling plant architecture in changing environments
Plant architecture is a major determinant of the
resource use efficiency of crops. The architecture
of a plant shows ontogenetic structural changes
which are modified by multiple environmental
factors: Plant canopies ...
Remedy: architectural conformance checking for adaptive systems
(2022)
Adaptive Systems (ASs) evaluate their own behavior and change it when the evaluation indicates it is not accomplishing the established goals, or when better functionality or performance is possible. Nowadays these kind of ...
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...