AIMC Topic: Computer Simulation

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Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature.

Medical image analysis Oct 22, 2024
Computational models of atrial fibrillation (AF) can help improve success rates of interventions, such as ablation. However, evaluating the efficacy of different treatments requires performing multiple costly simulations by pacing at different points...
Computer Simulation Fibrosis Heart Atria Models, Cardiovascular Atrial Fibrillation Machine Learning Algorithms Humans
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Machine Learning-Based Prediction of the Inhibitory Activity of Chemical Substances Against Rat and Human Cytochrome P450s.

Chemical research in toxicology Oct 20, 2024
The prediction of cytochrome P450 inhibition by a computational (quantitative) structure-activity relationship approach using chemical structure information and machine learning would be useful for toxicity research as a simple and rapid tool. Howev...
Cytochrome P-450 Enzyme Inhibitors Cytochrome P-450 Enzyme System Humans Quantitative Structure-Activity Relationship Computer Simulation Animals Machine Learning Rats
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Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2024
This article analyses leader-following bipartite consensus for one-sided Lipschitz multi-agent systems by dual-terminal event-triggered output feedback control approach. A distributed observer is designed to estimate unknown system states by employin...
Robotics Nonlinear Dynamics Computer Simulation Neural Networks, Computer Feedback Algorithms Consensus
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Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2024
Fault detection consistently plays a crucial role in industrial dynamic processes as it enables timely prevention of production losses. However, since industrial dynamic processes become increasingly coupled and complex, they introduce uneven dynamic...
Reproducibility of Results Algorithms Computer Simulation Neural Networks, Computer
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BiLSTM-Filt: Neural network for radar word segmentation.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2024
Radar word extraction is the analysis foundation for multi-function radars (MFRs) in electronic intelligence (ELINT). Although neural networks enhance performance in radar word extraction, current research still faces challenges from complex electrom...
Algorithms Computer Simulation Radar Neural Networks, Computer Artificial Intelligence Humans
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Deep fuzzy physics-informed neural networks for forward and inverse PDE problems.

Neural networks : the official journal of the International Neural Network Society Oct 15, 2024
As a grid-independent approach for solving partial differential equations (PDEs), Physics-Informed Neural Networks (PINNs) have garnered significant attention due to their unique capability to simultaneously learn from both data and the governing phy...
Deep Learning Fuzzy Logic Physics Algorithms Computer Simulation Humans Neural Networks, Computer
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Activation of a Soft Robotic Left Ventricular Phantom Embedded in a Closed-Loop Cardiovascular Simulator: A Computational and Experimental Analysis.

Cardiovascular engineering and technology Oct 14, 2024
PURPOSE: Cardiovascular simulators are used in the preclinical testing phase of medical devices. Their reliability increases the more they resemble clinically relevant scenarios. In this study, a physiologically actuated soft robotic left ventricle (...
Reproducibility of Results Ventricular Function, Left Robotics Humans Computer Simulation Models, Cardiovascular Phantoms, Imaging Equipment Design Finite Element Analysis Heart Ventricles
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Deep Neural Network-Based Accelerated Failure Time Models Using Rank Loss.

Statistics in medicine Oct 12, 2024
An accelerated failure time (AFT) model assumes a log-linear relationship between failure times and a set of covariates. In contrast to other popular survival models that work on hazard functions, the effects of covariates are directly on failure tim...
Humans Deep Learning Proportional Hazards Models Neural Networks, Computer Models, Statistical Computer Simulation Survival Analysis
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Trajectory optimization and obstacle avoidance of autonomous robot using Robust and Efficient Rapidly Exploring Random Tree.

PloS one Oct 11, 2024
One of the key challenges in robotics is the motion planning problem. This paper presents a local trajectory planning and obstacle avoidance strategy based on a novel sampling-based path-finding algorithm designed for autonomous vehicles navigating c...
Robotics Algorithms Motion Computer Simulation
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Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis.

Medical & biological engineering & computing Oct 10, 2024
PURPOSE: In silico trials using computational modeling and simulations can complement clinical trials to improve the time-to-market of complex cardiovascular devices in humans. This study aims to investigate the significance of synthetic data in deve...
Humans Aged, 80 and over Machine Learning Computer Simulation Male Neural Networks, Computer Cohort Studies Models, Statistical Aortic Valve Stenosis Female Aortic Valve Heart Valve Prosthesis Aged Transcatheter Aortic Valve Replacement
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