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RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation
(2021-06-01)
Neuromuscular electrical stimulation (NMES) has been effectively applied in many rehabilitation treatments of individuals with spinal cord injury (SCI). In this context, we introduce a novel, robust, and intelligent ...
Surrogate-based modeling and design optimization techniques for signal integrity in high-performance computer platforms
(World Scientific Publishing Europe, 2022)
Agile tuning method in successive steps for a river flow simulator
(Springer, 2018)
Abstract: Scientists and engineers continuously build models to interpret axiomatic theories or explain the reality of the universe of interest to reduce the gap between formal theory and observation in practice. We focus ...
Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code
(Elsevier, 2014)
One of the main difficulties using multi-point statistical (MPS) simulation based on annealing
techniques or genetic algorithms concerns the excessive amount of time and memory
that must be spent in order to achieve ...
Classifying impurity ranges in raw sugarcane using laser-induced breakdown spectroscopy (LIBS) and sum fusion across a tuning parameter window
(2018-12-01)
The presence in raw sugarcane of low levels of solid impurities from soil particles and green and dry/brown sugarcane leaves is relevant to improving sugar mill production performance. Two ranges of impurities for raw sugar ...
The Effect Of Tuning, Feature Engineering, And Feature Selection In Data Mining Applied To Rainfed Sugarcane Yield Modelling
(Elsevier Sci LTDOxford, 2016)
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization
(2020-07-01)
Restricted Boltzmann Machines (RBM) are stochastic neural networks mainly used for image reconstruction and unsupervised feature learning. An enhanced version, the temperature-based RBM (T-RBM), considers a new temperature ...