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Use of the q-Gaussian mutation in evolutionary algorithms
(SPRINGER, 2011)
This paper proposes the use of the q-Gaussian mutation with self-adaptation of the shape of the mutation distribution in evolutionary algorithms. The shape of the q-Gaussian mutation distribution is controlled by a real ...
Reinforcement Learning using Gaussian Processes for Discretely Controlled Continuous Processes
(Planta Piloto de Ingeniería Química, 2013-07)
In many application domains such as autonomous avionics, power electronics and process systems engineering there exist discretely controlled continuous processes (DCCPs) which constitute a special subclass of hybrid dynamical ...
Probabilistic machine learning for detection of tightening torque in bolted joints
(2022-01-01)
Observing the loss of tightening torque using modal parameters is challenging due to the variability and nonlinear effects in bolted joints. Thus, this paper proposes a combined application of two probabilistic machine ...
Delamination area quantification in composite structures using Gaussian process regression and auto-regressive models
(2020-01-01)
After detecting initial delamination damage in a hotspot region of a composite structure monitored through a data-driven approach, the user needs to decide if there is an imminent structural failure or if the system can ...
Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes
(Elsevier, 2015-06)
Automated control of blood glucose (BG) concentration with a fully automated artificial pancreas will certainly improve the quality of life for insulin-dependent patients. Closed-loop insulin delivery is challenging due ...
Identifying the stiffness and damping of a nonlinear system using its free response perturbed with Gaussian white noise
(2020-05-01)
Measurement uncertainty can affect the accuracy of estimating parameters of vibrating systems. This article is concerned with the development of a method for estimating parameters from the free vibration response of a ...
Gapped Gaussian smoothing technique for debonding assessment with automatic thresholding
(John Wiley and Sons Ltd, 2019)
© 2019 John Wiley & Sons, Ltd.Sandwich structures are subjected to imperfect bonding or debonding caused by defects during the manufacturing process, by fatigue, or by impact loads. In this context, their safety and ...
Risk maps for cities: Incorporating streets into geostatistical models
(Elsevier, 2018)
Vector-borne diseases commonly emerge in urban landscapes, and Gaussian field models can be used to create risk maps of vector presence across a large environment. However, these models do not account for the possibility ...