AIMC Topic: Computer Simulation

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MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T -induced blurring in spin echo sequences.

Magnetic resonance in medicine Jun 25, 2023
PURPOSE: An end-to-end differentiable 2D Bloch simulation is used to reduce T induced blurring in single-shot turbo spin echo sequences, also called rapid imaging with refocused echoes (RARE) sequences, by using a joint optimization of refocusing fli...
Neural Networks, Computer Computer Simulation Time Factors Magnetic Resonance Imaging Protons
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Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment.

Water research Jun 24, 2023
Representing reality in a numerical model is complex. Conventionally, hydraulic models of water distribution networks are a tool for replicating water supply system behaviour through simulation by means of approximation of physical equations. A calib...
Neural Networks, Computer Computer Simulation Calibration Water Supply Uncertainty
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A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels.

Scientific reports Jun 24, 2023
Solar energy is a very efficient alternative for generating clean electric energy. However, pollution on the surface of solar panels reduces solar radiation, increases surface transmittance, and raises the surface temperature. All these factors cause...
Machine Learning Computer Simulation Reproducibility of Results Environmental Pollution Solar Energy
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Systematic Bronchoscopy: the Four Landmarks Approach.

Journal of visualized experiments : JoVE Jun 23, 2023
Flexible bronchoscopy is a technically difficult procedure and has been identified as the most important procedure that should be integrated into a simulation-based training program for pulmonologists. However, more specific guidelines that govern br...
Humans Artificial Intelligence Computer Simulation Clinical Competence Bronchoscopy Bronchi
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Robust Stabilization of Linear Time-Delay Systems under Denial-of-Service Attacks.

Sensors (Basel, Switzerland) Jun 21, 2023
This research examines new methods for stabilizing linear time-delay systems that are subject to denial-of-service (DoS) attacks. The study takes into account the different effects that a DoS attack can have on the system, specifically delay-independ...
Neural Networks, Computer Computer Simulation Feedback Time
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Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data.

Journal of mathematical biology Jun 21, 2023
We propose a machine learning framework for the data-driven discovery of macroscopic chemotactic Partial Differential Equations (PDEs)-and the closures that lead to them- from high-fidelity, individual-based stochastic simulations of Escherichia coli...
Neural Networks, Computer Computer Simulation Escherichia coli Diffusion Monte Carlo Method
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Optical Diffractive Convolutional Neural Networks Implemented in an All-Optical Way.

Sensors (Basel, Switzerland) Jun 20, 2023
Optical neural networks can effectively address hardware constraints and parallel computing efficiency issues inherent in electronic neural networks. However, the inability to implement convolutional neural networks at the all-optical level remains a...
Neural Networks, Computer Computer Simulation Image Processing, Computer-Assisted
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Analytical Models for Pose Estimate Variance of Planar Fiducial Markers for Mobile Robot Localisation.

Sensors (Basel, Switzerland) Jun 20, 2023
Planar fiducial markers are commonly used to estimate a pose of a camera relative to the marker. This information can be combined with other sensor data to provide a global or local position estimate of the system in the environment using a state est...
Computer Simulation Robotics Fiducial Markers
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Unsupervised Learning-Based WSN Clustering for Efficient Environmental Pollution Monitoring.

Sensors (Basel, Switzerland) Jun 20, 2023
Wireless Sensor Networks (WSNs) have been adopted in various environmental pollution monitoring applications. As an important environmental field, water quality monitoring is a vital process to ensure the sustainable, important feeding of and as a li...
Computer Simulation Nanoparticles Environmental Monitoring Cluster Analysis Unsupervised Machine Learning Environmental Pollutants
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Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records.

Systematic reviews Jun 20, 2023
BACKGROUND: Conducting a systematic review demands a significant amount of effort in screening titles and abstracts. To accelerate this process, various tools that utilize active learning have been proposed. These tools allow the reviewer to interact...
Humans Machine Learning Software Computer Simulation Bayes Theorem Systematic Reviews as Topic
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