AIMC Topic: Computer Simulation

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3D-printed soft microrobot for swimming in biological fluids.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Microscopic artificial swimmers hold the potential to enable novel non-invasive medical procedures. In order to ease their translation towards real biomedical applications, simpler designs as well as cheaper yet more reliable materials and fabricatio...

A biorobotic model of the human larynx.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This work focuses on a physical model of the human larynx that replicates its main components and functions. The prototype reproduces the multilayer vocal folds and the ab/adduction movements. In particular, the vocal folds prototype is made with sof...

Classifying pairs with trees for supervised biological network inference.

Molecular bioSystems
Networks are ubiquitous in biology, and computational approaches have been largely investigated for their inference. In particular, supervised machine learning methods can be used to complete a partially known network by integrating various measureme...

Constructing Precisely Computing Networks with Biophysical Spiking Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience
UNLABELLED: While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computation by neural networks are based on population firing rates....

Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Research report (Health Effects Institute)
INTRODUCTION: The United States Environmental Protection Agency (U.S. EPA*) currently regulates individual air pollutants on a pollutant-by-pollutant basis, adjusted for other pollutants and potential confounders. However, the National Academies of S...

The entropic basis of collective behaviour.

Journal of the Royal Society, Interface
We identify a unique viewpoint on the collective behaviour of intelligent agents. We first develop a highly general abstract model for the possible future lives these agents may encounter as a result of their decisions. In the context of these possib...

Variational inference with ARD prior for NIRS diffuse optical tomography.

IEEE transactions on neural networks and learning systems
Diffuse optical tomography (DOT) reconstructs 3-D tomographic images of brain activities from observations by near-infrared spectroscopy (NIRS) that is formulated as an ill-posed inverse problem. This brief presents a method for NIRS DOT based on a h...

Variable neural adaptive robust control: a switched system approach.

IEEE transactions on neural networks and learning systems
Variable neural adaptive robust control strategies are proposed for the output tracking control of a class of multiinput multioutput uncertain systems. The controllers incorporate a novel variable-structure radial basis function (RBF) network as the ...

Self-organizing neural networks integrating domain knowledge and reinforcement learning.

IEEE transactions on neural networks and learning systems
The use of domain knowledge in learning systems is expected to improve learning efficiency and reduce model complexity. However, due to the incompatibility with knowledge structure of the learning systems and real-time exploratory nature of reinforce...

Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning.

IEEE journal of biomedical and health informatics
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing ...