AIMC Topic: Computer Simulation

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Fuzzy-Rough Cognitive Networks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2017
Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information granules coming from Rough Set Theory. While RCNs have shown promise in solving different cl...
Discrimination, Psychological Fuzzy Logic Computer Simulation Decision Trees Cognition Bayes Theorem Models, Theoretical Benchmarking Neural Networks, Computer Pattern Recognition, Automated Algorithms Problem Solving
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A Network Pharmacology-Based Study on the Hepatoprotective Effect of Fructus Schisandrae.

Molecules (Basel, Switzerland) Sep 28, 2017
(Wuweizi in Chinese), a common traditional Chinese herbal medicine, has been used for centuries to treat chronic liver disease. The therapeutic efficacy of Wuweizi has also been validated in clinical practice. In this study, molecular docking and ne...
Databases, Pharmaceutical Schisandra Drugs, Chinese Herbal Hepatocytes Liver Diseases Humans Neural Networks, Computer Computer Simulation Protective Agents
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Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies.

Computational and mathematical methods in medicine Sep 24, 2017
Epidemiological studies often utilize stratified data in which rare outcomes or exposures are artificially enriched. This design can increase precision in association tests but distorts predictions when applying classifiers on nonstratified data. Sev...
Case-Control Studies Patient Selection Hepatitis Algorithms Selection Bias Humans Research Design Machine Learning Computer Simulation Software
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Stimulus-induced transitions between spike-wave discharges and spindles with the modulation of thalamic reticular nucleus.

Journal of computational neuroscience Sep 22, 2017
It is believed that thalamic reticular nucleus (TRN) controls spindles and spike-wave discharges (SWD) in seizure or sleeping processes. The dynamical mechanisms of spatiotemporal evolutions between these two types of activity, however, are not well ...
Humans Models, Neurological Action Potentials Neurons Neural Networks, Computer Computer Simulation Animals Neural Inhibition Nonlinear Dynamics Intralaminar Thalamic Nuclei Nerve Net Electric Stimulation
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Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory.

Nanotoxicology Sep 22, 2017
Nanoparticles (NPs) are part of our daily life, having a wide range of applications in engineering, physics, chemistry, and biomedicine. However, there are serious concerns regarding the harmful effects that NPs can cause to the different biological ...
Toxicity Tests Models, Theoretical Predictive Value of Tests Quantitative Structure-Activity Relationship Neural Networks, Computer Machine Learning Computer Simulation Animals Risk Assessment Nanoparticles Humans
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Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2017
In this paper, we aim to tackle the neural robust tracking control problem for a class of nonlinear systems using the adaptive critic technique. The main contribution is that a neural-network-based robust tracking control scheme is established for no...
Nonlinear Dynamics Uncertainty Algorithms Computer Simulation Feedback Neural Networks, Computer Machine Learning
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Deep reconstruction model for dynamic PET images.

PloS one Sep 21, 2017
Accurate and robust tomographic reconstruction from dynamic positron emission tomography (PET) acquired data is a difficult problem. Conventional methods, such as the maximum likelihood expectation maximization (MLEM) algorithm for reconstructing the...
Positron-Emission Tomography Monte Carlo Method Phantoms, Imaging Humans Brain Machine Learning Computer Simulation Models, Neurological Models, Anatomic Whole Body Imaging
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Finite time synchronization of memristor-based Cohen-Grossberg neural networks with mixed delays.

PloS one Sep 20, 2017
Finite time synchronization, which means synchronization can be achieved in a settling time, is desirable in some practical applications. However, most of the published results on finite time synchronization don't include delays or only include discr...
Feedback Time Factors Neural Networks, Computer Nonlinear Dynamics Humans Algorithms Computer Simulation
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Artificial intelligence in peer review: How can evolutionary computation support journal editors?

PloS one Sep 20, 2017
With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming more apparent. Editorial strategies, sets of guidelines designed to speed up the process and reduce edi...
Computer Simulation Editorial Policies Models, Genetic Humans Evolution, Molecular Quality Control Artificial Intelligence Peer Review, Research Algorithms Publishing
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Functional Contour-following via Haptic Perception and Reinforcement Learning.

IEEE transactions on haptics Sep 18, 2017
Many tasks involve the fine manipulation of objects despite limited visual feedback. In such scenarios, tactile and proprioceptive feedback can be leveraged for task completion. We present an approach for real-time haptic perception and decision-maki...
Neural Networks, Computer Algorithms Reinforcement, Psychology Computer Simulation Touch Robotics Touch Perception Equipment Design
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