AIMC Topic: Computer Simulation
Clear Filters Showing 301 to 310 of 3891 articles
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...
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 (...
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...
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...
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...
Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach.
Artificial intelligence in medicine
Oct 10, 2024
Physics-based computer models based on numerical solutions of the governing equations generally cannot make rapid predictions, which in turn limits their applications in the clinic. To address this issue, we developed a physics-informed neural networ...
Modelling multivariate spatio-temporal data with identifiable variational autoencoders.
Neural networks : the official journal of the International Neural Network Society
Oct 9, 2024
Modelling multivariate spatio-temporal data with complex dependency structures is a challenging task but can be simplified by assuming that the original variables are generated from independent latent components. If these components are found, they c...
Neuroscientific insights about computer vision models: a concise review.
Biological cybernetics
Oct 9, 2024
The development of biologically-inspired computational models has been the focus of study ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a scrutiny of literature reveals that most attempts to replicate the hi...
Computational Fuzzy Modelling Approach to Analyze Neuronal Calcium Dynamics With Intracellular Fluxes.
Cell biochemistry and biophysics
Oct 7, 2024
Mathematical neuroscience investigates how calcium distribution in nerve cells affects the neurological system. The interaction of numerous systems is necessary for the operation of several cellular processes in neuron cells, such as calcium, buffer,...
From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 7, 2024
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing upper extremity movements. We developed two artifi...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31261
- Neural Networks, Computer 29817
- Algorithms 26965
- Deep Learning 26491
- Artificial Intelligence 24413
- Robotics 13329
- Image Processing, Computer-Assisted 9578
- Retrospective Studies 9155
- Magnetic Resonance Imaging 6213
- Reproducibility of Results 5605
- Tomography, X-Ray Computed 4792
- Support Vector Machine 4705
- Computational Biology 4266
- Brain 4057
- Computer Simulation 3891
Recent Journals
- Scientific reports 6194
- Sensors (Basel, Switzerland) 4794
- PloS one 4069
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1143
- Journal of chemical information and modeling 1017
- Nature communications 970
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 863
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 831