AIMC Topic:
Computer Simulation

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A new method for identifying a fault in T-connected lines based on multiscale S-transform energy entropy and an extreme learning machine.

PloS one Aug 15, 2019
Due to the characteristics of T-connection transmission lines, a new method for T-connection transmission lines fault identification based on current reverse travelling wave multi-scale S-transformation energy entropy and limit learning machine is pr...
Electricity Machine Learning Entropy Algorithms Computer Simulation
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Flexible model of network embedding.

Scientific reports Aug 12, 2019
There has lately been increased interest in describing complex systems not merely as single networks but rather as collections of networks that are coupled to one another. We introduce an analytically tractable model that enables one to connect two l...
Humans Neural Networks, Computer Social Networking Computer Simulation Information Services Support Vector Machine
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Personalized oncology with artificial intelligence: The case of temozolomide.

Artificial intelligence in medicine Aug 12, 2019
PURPOSE: Using artificial intelligence techniques, we compute optimal personalized protocols for temozolomide administration in a population of patients with variability.
Temozolomide Artificial Intelligence Models, Biological Algorithms Tumor Burden Humans Computer Simulation Brain Neoplasms Maximum Tolerated Dose Dose-Response Relationship, Drug Bayes Theorem
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Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 9, 2019
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder's output, where the correct...
Cluster Analysis Attention Brain-Computer Interfaces Haplorhini Algorithms Machine Learning Movement Computer Simulation Motor Cortex Animals Reinforcement, Psychology Electrodes, Implanted Neural Prostheses
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Machine learning in the electrocardiogram.

Journal of electrocardiology Aug 8, 2019
The electrocardiogram is the most widely used diagnostic tool that records the electrical activity of the heart and, therefore, its use for identifying markers for early diagnosis and detection is of paramount importance. In the last years, the huge ...
Humans Machine Learning Computer Simulation Electronic Health Records Electrocardiography
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Intermittent Discrete Observation Control for Synchronization of Stochastic Neural Networks.

IEEE transactions on cybernetics Aug 7, 2019
In this paper, to investigate the exponential synchronization of stochastic neural networks, a new periodically intermittent discrete observation control (PIDOC) is first proposed. Different from the existing periodically intermittent control, our co...
Computer Simulation Models, Neurological Stochastic Processes Neural Networks, Computer
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Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.

Magnetic resonance in medicine Aug 7, 2019
PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its performance.
Image Processing, Computer-Assisted Kidney Liver Male Middle Aged Deep Learning Image Interpretation, Computer-Assisted Pancreas Spleen Diffusion Magnetic Resonance Imaging Bayes Theorem Least-Squares Analysis Motion Computer Simulation Humans Reproducibility of Results Algorithms Adult Prospective Studies
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Time-delay estimation based computed torque control with robust adaptive RBF neural network compensator for a rehabilitation exoskeleton.

ISA transactions Aug 6, 2019
A new approach to gait rehabilitation task of a 12 DOF lower limb exoskeleton is proposed combining time-delay estimation (TDE) based computed torque control (CTC) and robust adaptive RBF neural networks. In addition to the conventional advantages of...
Exoskeleton Device Rehabilitation Computer Simulation Biomechanical Phenomena Lower Extremity Humans Gait Neural Networks, Computer Robotics Torque Algorithms Equipment Design
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A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.

Radiology Aug 6, 2019
Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have not addressed limitations in radiologist specificity or efficiency. Purpose To develop a DL model to triage a portion of mammograms as cancer free, i...
Registries Breast Image Interpretation, Computer-Assisted Adult Female Mammography Breast Neoplasms Aged Deep Learning Triage Middle Aged Aged, 80 and over Cohort Studies Humans Computer Simulation Retrospective Studies
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Beyond the "Conceptual Nervous System": Can computational cognitive neuroscience transform learning theory?

Behavioural processes Aug 3, 2019
In the last century, learning theory has been dominated by an approach assuming that associations between hypothetical representational nodes can support the acquisition of knowledge about the environment. The similarities between this approach and c...
Cognition Humans Learning Cognitive Neuroscience Models, Theoretical Animals Neural Networks, Computer Nervous System Computer Simulation Computational Biology
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