AIMC Topic: Computer Simulation

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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...
Robotics Computer Simulation 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...
Environmental Pollutants Computer Simulation Environmental Monitoring Unsupervised Machine Learning Nanoparticles Cluster Analysis
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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 Bayes Theorem Computer Simulation Systematic Reviews as Topic
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Learned spatiotemporal correlation priors for CEST image denoising using incorporated global-spectral convolution neural network.

Magnetic resonance in medicine Jun 18, 2023
PURPOSE: To develop a deep learning-based method, dubbed Denoising CEST Network (DECENT), to fully exploit the spatiotemporal correlation prior to CEST image denoising.
Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Mice Animals Humans Neural Networks, Computer Algorithms Computer Simulation
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Hemodynamic study of blood flow in the aorta during the interventional robot treatment using fluid-structure interaction.

Biomechanics and modeling in mechanobiology Jun 17, 2023
An interventional robot is a means for vascular diagnosis and treatment, and it can perform dredging, releasing drug and operating. Normal hemodynamic indicators are a prerequisite for the application of interventional robots. The current hemodynamic...
Blood Pressure Blood Flow Velocity Robotics Pulsatile Flow Aorta Models, Cardiovascular Computer Simulation Hemodynamics
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Deep Learning for Identifying Promising Drug Candidates in Drug-Phospholipid Complexes.

Molecules (Basel, Switzerland) Jun 16, 2023
Drug-phospholipid complexing is a promising formulation technology for improving the low bioavailability of active pharmaceutical ingredients (APIs). However, identifying whether phospholipid and candidate drug can form a complex through in vitro tes...
Deep Learning Technology Computer Simulation Neural Networks, Computer Machine Learning
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The comparison data forest: A new comparison data approach to determine the number of factors in exploratory factor analysis.

Behavior research methods Jun 15, 2023
Developing psychological assessment instruments often involves exploratory factor analyses, during which one must determine the number of factors to retain. Several factor-retention criteria have emerged that can infer this number from empirical data...
Humans Factor Analysis, Statistical Machine Learning Computer Simulation
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Bloch simulator-driven deep recurrent neural network for magnetization transfer contrast MR fingerprinting and CEST imaging.

Magnetic resonance in medicine Jun 15, 2023
PURPOSE: To develop a unified deep-learning framework by combining an ultrafast Bloch simulator and a semisolid macromolecular magnetization transfer contrast (MTC) MR fingerprinting (MRF) reconstruction for estimation of MTC effects.
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Neural Networks, Computer Computer Simulation Phantoms, Imaging
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Novel LKF Method on H Synchronization of Switched Time-Delay Systems.

IEEE transactions on cybernetics Jun 15, 2023
This article investigates H global asymptotic synchronization (GAS) of switched nonlinear systems with delay. By introducing mode-dependent double event-triggering mechanisms (DETMs), the communication resources in both system-controller (S-C) channe...
Communication Time Factors Neural Networks, Computer Algorithms Computer Simulation
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Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games.

IEEE transactions on cybernetics Jun 15, 2023
In this article, evolving and incremental value iteration (VI) frameworks are constructed to address the discrete-time zero-sum game problem. First, the evolving scheme means that the closed-loop system is regulated by using the evolving policy pair....
Computer Simulation Nonlinear Dynamics Neural Networks, Computer Algorithms
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