AIMC Topic: Computer Simulation

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EBM-WGF: Training energy-based models with Wasserstein gradient flow.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Energy-based models (EBMs) show their efficiency in density estimation. However, MCMC sampling in traditional EBMs suffers from expensive computation. Although EBMs with minimax game avoid the above drawback, the energy estimation and generator's opt...
Computer Simulation Neural Networks, Computer Algorithms
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Turbulence control in memristive neural network via adaptive magnetic flux based on DLS-ADMM technique.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
High-voltage defibrillation for eliminating cardiac spiral waves has significant side effects, necessitating the pursuit of low-energy alternatives for a long time. Adaptive optimization techniques and machine learning methods provide promising solut...
Computer Simulation Magnetic Fields Machine Learning Humans Algorithms Neural Networks, Computer
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Exponential stability of infinite-dimensional impulsive stochastic systems with Poisson jumps under aperiodically intermittent control.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
This paper studies the problem of mean square exponential stability (ES) for a class of impulsive stochastic infinite-dimensional systems with Poisson jumps (ISIDSP) using aperiodically intermittent control (AIC). It provides a detailed analysis of i...
Algorithms Computer Simulation Stochastic Processes Poisson Distribution Neural Networks, Computer
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Learning-based motion artifact correction in the Z-spectral domain for chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Jul 1, 2025
PURPOSE: To develop and evaluate a physics-driven, saturation contrast-aware, deep-learning-based framework for motion artifact correction in CEST MRI.
Artifacts Phantoms, Imaging Computer Simulation Algorithms Movement Adult Brain Magnetic Resonance Imaging Deep Learning Humans Brain Neoplasms Motion Image Processing, Computer-Assisted Neural Networks, Computer
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Virtual Cell Challenge: Toward a Turing test for the virtual cell.

Cell Jun 26, 2025
Virtual cells are an emerging frontier at the intersection of artificial intelligence and biology. A key goal of these cell state models is predicting cellular responses to perturbations. The Virtual Cell Challenge is being established to catalyze pr...
Computer Simulation User-Computer Interface Models, Biological Humans Artificial Intelligence
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Exploring nanoparticles in lungs under COPD conditions for nanospray drug flow and deposition: CFD simulations and AI predictions.

International journal of pharmaceutics Jun 10, 2025
Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social health system, not only causing direct medical costs but also economic losses. Today, treatments for COPD include drugs, bronchodilators, and oxygen thera...
Computer Simulation Pulmonary Disease, Chronic Obstructive Lung Humans Neural Networks, Computer Nanoparticles Particle Size Administration, Inhalation Models, Biological Hydrodynamics
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Hyperparameter Control Using Fuzzy Logic: Evolving Policies for Adaptive Fuzzy Particle Swarm Optimization Algorithm.

Evolutionary computation Jun 2, 2025
Heuristic optimization methods such as particle swarm optimization (PSO) depend on their parameters to achieve optimal performance on a given class of problems. Some modifications of heuristic algorithms aim at adapting those parameters during the op...
Feedback Fuzzy Logic Particle Swarm Optimization Algorithms Computer Simulation
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A Bayesian Approach to the G-Formula via Iterative Conditional Regression.

Statistics in medicine Jun 1, 2025
In longitudinal observational studies with time-varying confounders, the generalized computation algorithm formula (g-formula) is a principled tool to estimate the average causal effect of a treatment regimen. However, the standard non-iterative g-fo...
Models, Statistical Regression Analysis Bayes Theorem Causality Observational Studies as Topic Humans Machine Learning Computer Simulation Longitudinal Studies Algorithms
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Integrating Multiple Data Sources With Interactions in Multi-Omics Using Cooperative Learning.

Statistics in medicine Jun 1, 2025
Modeling with multiomics data presents multiple challenges, such as the high dimensionality of the problem ( ), the presence of interactions between features, and the need for integration between multiple data sources. We establish an interaction mo...
Humans Models, Statistical Information Sources Female Genomics Machine Learning Computer Simulation Multiomics
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Use of Machine Learning to Compare Disease Risk Scores and Propensity Scores Across Complex Confounding Scenarios: A Simulation Study.

Pharmacoepidemiology and drug safety Jun 1, 2025
PURPOSE: The surge of treatments for COVID-19 in the second quarter of 2020 had a low prevalence of treatment and high outcome risk. Motivated by that, we conducted a simulation study comparing disease risk scores (DRS) and propensity scores (PS) usi...
Bias COVID-19 Drug Treatment Monte Carlo Method Confounding Factors, Epidemiologic Propensity Score Risk Assessment Prevalence Logistic Models Computer Simulation SARS-CoV-2 Machine Learning COVID-19 Humans
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