AIMC Topic: Computer Simulation

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Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

Computer methods and programs in biomedicine Oct 16, 2014
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plant in a clinical dietary intervention. Even though a number of mathematical functions such as SPSS an...
Carum Medicine, Traditional Support Vector Machine Fuzzy Logic Obesity Female Double-Blind Method Humans Plants, Medicinal Computer Simulation Phytotherapy Adult Body Mass Index
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Time domain passivity controller for 4-channel time-delay bilateral teleoperation.

IEEE transactions on haptics Oct 16, 2014
This paper presents an extension of the time-domain passivity control approach to a four-channel bilateral controller under the effects of time delays. Time-domain passivity control has been used successfully to stabilize teleoperation systems with p...
Algorithms Models, Theoretical Computer Simulation Time Humans Robotics Touch User-Computer Interface Equipment Design
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Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.

Statistics in medicine Oct 15, 2014
Inverse probability weights used to fit marginal structural models are typically estimated using logistic regression. However, a data-adaptive procedure may be able to better exploit information available in measured covariates. By combining predicti...
Confounding Factors, Epidemiologic Humans Bias Antiretroviral Therapy, Highly Active Probability Logistic Models Confidence Intervals Machine Learning Models, Statistical Spain Computer Simulation Data Interpretation, Statistical Mortality HIV Infections
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Hypoglycemia prediction using machine learning models for patients with type 2 diabetes.

Journal of diabetes science and technology Oct 14, 2014
Minimizing the occurrence of hypoglycemia in patients with type 2 diabetes is a challenging task since these patients typically check only 1 to 2 self-monitored blood glucose (SMBG) readings per day. We trained a probabilistic model using machine lea...
Reproducibility of Results Sensitivity and Specificity Diabetes Mellitus, Type 2 Hypoglycemia Blood Glucose Self-Monitoring Computer Simulation Prognosis Retrospective Studies Humans Machine Learning Algorithms
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State-trace analysis: dissociable processes in a connectionist network?

Cognitive science Oct 12, 2014
Some argue the common practice of inferring multiple processes or systems from a dissociation is flawed (Dunn, 2003). One proposed solution is state-trace analysis (Bamber, 1979), which involves plotting, across two or more conditions of interest, pe...
Learning Humans Neural Networks, Computer Computer Simulation
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Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Oct 7, 2014
Decision-making systems trained on structural magnetic resonance imaging data of subjects affected by the Alzheimer's disease (AD) and healthy controls (CTRL) are becoming widespread prognostic tools for subjects with mild cognitive impairment (MCI)....
Computer Simulation Female Reproducibility of Results Humans Brain Support Vector Machine Models, Neurological Models, Statistical Aged Sensitivity and Specificity Male Nerve Net Alzheimer Disease Connectome
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Adaptive Neural Stabilizing Controller for a Class of Mismatched Uncertain Nonlinear Systems by State and Output Feedback.

IEEE transactions on cybernetics Sep 26, 2014
In this paper, first, an adaptive neural network (NN) state-feedback controller for a class of nonlinear systems with mismatched uncertainties is proposed. By using a radial basis function NN (RBFNN), a bound of unknown nonlinear functions is approxi...
Feedback Nonlinear Dynamics Neural Networks, Computer Computer Simulation
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Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori.

IEEE transactions on neural networks and learning systems Sep 25, 2014
This paper addresses the problem of globally stable direct adaptive backstepping neural network (NN) tracking control design for a class of uncertain strict-feedback systems under the assumption that the accuracy of the ultimate tracking error is giv...
Humans Feedback Nonlinear Dynamics Uncertainty Neural Networks, Computer Algorithms Computer Simulation
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Human-Like Behavior Generation Based on Head-Arms Model for Robot Tracking External Targets and Body Parts.

IEEE transactions on cybernetics Sep 18, 2014
Facing and pointing toward moving targets is a usual and natural behavior in daily life. Social robots should be able to display such coordinated behaviors in order to interact naturally with people. For instance, a robot should be able to point and ...
Movement Head Movements Robotics Humans Neural Networks, Computer Models, Biological Computer Simulation Arm Biomechanical Phenomena
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Modelling personal exposure to particulate air pollution: an assessment of time-integrated activity modelling, Monte Carlo simulation & artificial neural network approaches.

International journal of hygiene and environmental health Sep 16, 2014
An experimental assessment of personal exposure to PM10 in 59 office workers was carried out in Dublin, Ireland. 255 samples of 24-h personal exposure were collected in real time over a 28 month period. A series of modelling techniques were subsequen...
Particulate Matter Environmental Exposure Monte Carlo Method Neural Networks, Computer Computer Simulation Time Factors Humans
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