AIMC Topic: Computer Simulation

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Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI.

NeuroImage Jun 26, 2021
Estimation of white matter fiber orientation distribution function (fODF) is the essential first step for reliable brain tractography and connectivity analysis. Most of the existing fODF estimation methods rely on sub-optimal physical models of the d...
Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Phantoms, Imaging Computer Simulation Models, Neurological Nerve Fibers White Matter Humans Machine Learning
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Path Planning for Mobile Robot Based on Improved Bat Algorithm.

Sensors (Basel, Switzerland) Jun 26, 2021
Bat algorithm has disadvantages of slow convergence rate, low convergence precision and weak stability. In this paper, we designed an improved bat algorithm with a logarithmic decreasing strategy and Cauchy disturbance. In order to meet the requireme...
Computer Simulation Algorithms Robotics
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Classification of Space Objects by Using Deep Learning with Micro-Doppler Signature Images.

Sensors (Basel, Switzerland) Jun 25, 2021
Radar target classification is an important task in the missile defense system. State-of-the-art studies using micro-doppler frequency have been conducted to classify the space object targets. However, existing studies rely highly on feature extracti...
Computer Simulation Deep Learning Neural Networks, Computer Radar
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Predicting aptamer sequences that interact with target proteins using an aptamer-protein interaction classifier and a Monte Carlo tree search approach.

PloS one Jun 25, 2021
Oligonucleotide-based aptamers, which have a three-dimensional structure with a single-stranded fragment, feature various characteristics with respect to size, toxicity, and permeability. Accordingly, aptamers are advantageous in terms of diagnosis a...
Molecular Docking Simulation Aptamers, Nucleotide Computer Simulation Models, Chemical Monte Carlo Method Machine Learning Sequence Analysis, RNA Proteins
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Predictive modelling of piezometric head and seepage discharge in earth dam using soft computational models.

Environmental science and pollution research international Jun 24, 2021
Predictions of pore pressure and seepage discharge are the most important parameters in the design of earth dams and assessing their safety during the operational period as well. In this research, soft computing models namely multi-layer perceptron n...
Computer Simulation Support Vector Machine Neural Networks, Computer Algorithms
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Neural adaptive fault-tolerant finite-time control for nonstrict feedback systems: An event-triggered mechanism.

Neural networks : the official journal of the International Neural Network Society Jun 23, 2021
The problem of event-triggered neural adaptive fault-tolerant finite-time control is investigated for a class of nonstrict feedback nonlinear systems in the presence of nonaffine nonlinear faults. The event-triggered signal is designed by using a rel...
Neural Networks, Computer Computer Simulation Feedback Nonlinear Dynamics Communication
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Adaptive Fuzzy Sliding Mode Control of a Pressure-Controlled Artificial Ventilator.

Journal of healthcare engineering Jun 23, 2021
This paper presents the application of adaptive fuzzy sliding mode control (AFSMC) for the respiratory system to assist the patients facing difficulty in breathing. The ventilator system consists of a blower-hose-patient system and patient's lung mod...
Feedback Fuzzy Logic Ventilators, Mechanical Algorithms Computer Simulation Humans
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MEG Source Localization via Deep Learning.

Sensors (Basel, Switzerland) Jun 22, 2021
We present a deep learning solution to the problem of localization of magnetoencephalography (MEG) brain signals. The proposed deep model architectures are tuned to single and multiple time point MEG data, and can estimate varying numbers of dipole s...
Models, Neurological Brain Mapping Electroencephalography Magnetoencephalography Computer Simulation Deep Learning Brain Humans Algorithms
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Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding.

Sensors (Basel, Switzerland) Jun 22, 2021
A manufacturing paradigm shift from conventional control pyramids to decentralized, service-oriented, and cyber-physical systems (CPSs) is taking place in today's 4th industrial revolution. Generally accepted roles and implementation recipes of cyber...
Machine Learning Computer Simulation Humans Semantics
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Optimized algorithm for multipoint geostatistical facies modeling based on a deep feedforward neural network.

PloS one Jun 22, 2021
Reservoir facies modeling is an important way to express the sedimentary characteristics of the target area. Conventional deterministic modeling, target-based stochastic simulation, and two-point geostatistical stochastic modeling methods are difficu...
Geology Algorithms Computer Simulation Neural Networks, Computer
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