AIMC Topic: Computer Simulation

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Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

PloS one
Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multipl...

In Silico Calculation of Infinite Dilution Activity Coefficients of Molecular Solutes in Ionic Liquids: Critical Review of Current Methods and New Models Based on Three Machine Learning Algorithms.

Journal of chemical information and modeling
The aim of the paper is to address all the disadvantages of currently available models for calculating infinite dilution activity coefficients (γ(∞)) of molecular solutes in ionic liquids (ILs)-a relevant property from the point of view of many appli...

Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?

Accident; analysis and prevention
With Intelligent Transport Systems (e.g., traffic light assistance systems) assisted drivers are able to show driving behavior in anticipation of upcoming traffic situations. In the years to come, the penetration rate of such systems will be low. The...

Round Randomized Learning Vector Quantization for Brain Tumor Imaging.

Computational and mathematical methods in medicine
Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical and challenging task. Owing to that, several medical imaging classification techniques have been devised in which Learning Vector Quantization (LVQ) is among...

Prediction of selective estrogen receptor beta agonist using open data and machine learning approach.

Drug design, development and therapy
BACKGROUND: Estrogen receptors (ERs) are nuclear transcription factors that are involved in the regulation of many complex physiological processes in humans. ERs have been validated as important drug targets for the treatment of various diseases, inc...

Non-reward neural mechanisms in the orbitofrontal cortex.

Cortex; a journal devoted to the study of the nervous system and behavior
Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, and behaviour must change. The human lateral orbitofrontal cortex is activated when non-reward, or loss occurs. The neuronal computation of this negat...

Audiovisual integration in hemianopia: A neurocomputational account based on cortico-collicular interaction.

Neuropsychologia
Hemianopic patients retain some abilities to integrate audiovisual stimuli in the blind hemifield, showing both modulation of visual perception by auditory stimuli and modulation of auditory perception by visual stimuli. Indeed, conscious detection o...

Artificial neural networks to predict 3D spinal posture in reaching and lifting activities; Applications in biomechanical models.

Journal of biomechanics
Spinal posture is a crucial input in biomechanical models and an essential factor in ergonomics investigations to evaluate risk of low back injury. In vivo measurement of spinal posture through the common motion capture techniques is limited to equip...

Event-triggered H∞ filter design for delayed neural network with quantization.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with H∞ filter design for a class of neural network systems with event-triggered communication scheme and quantization. Firstly, a new event-triggered communication scheme is introduced to determine whether or not the current ...

Complex Neural Network Models for Time-Varying Drazin Inverse.

Neural computation
Two complex Zhang neural network (ZNN) models for computing the Drazin inverse of arbitrary time-varying complex square matrix are presented. The design of these neural networks is based on corresponding matrix-valued error functions arising from the...