AIMC Topic: Computer Simulation

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Modelling fourth-order hyperelasticity in soft solids using physics informed neural networks without labelled data.

Brain research bulletin Mar 26, 2025
Mild traumatic brain injury can result from shear shock wave formation in the brain in the event of a head impact like in contact sports, road traffic accidents, etc. These highly nonlinear deformations are modelled by a fourth-order Landau hyperelas...
Elasticity Finite Element Analysis Humans Brain Neural Networks, Computer Computer Simulation
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Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network.

Computers in biology and medicine Mar 26, 2025
Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research to model flow in blood vessels and airways. It is further useful to some clinical applications, such as predicting arterial fractional flow reserves,...
Models, Cardiovascular Pulsatile Flow Hemodynamics Blood Flow Velocity Hydrodynamics Neural Networks, Computer Computer Simulation Humans
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GraphDeep-hERG: Graph Neural Network PharmacoAnalytics for Assessing hERG-Related Cardiotoxicity.

Pharmaceutical research Mar 26, 2025
PURPOSE: The human Ether-a-go-go Related-Gene (hERG) encodes rectifying potassium channels that play a significant role during action potential repolarization of cardiomyocytes. Blockade of the hERG channel by off-target drugs can lead to long QT syn...
Neural Networks, Computer Machine Learning Humans Ether-A-Go-Go Potassium Channels Potassium Channel Blockers Algorithms Deep Learning Graph Neural Networks Action Potentials Computer Simulation ERG1 Potassium Channel Cardiotoxicity
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Neural Network With Attention Mechanism for Abnormality Detection and Localization in Diffusive Molecular Communication.

IEEE transactions on nanobioscience Mar 26, 2025
Diffusive molecular communication (DMC) is an emerging paradigm in nanotechnology, which provides biocompatibility and nanoscale communication for many promising applications, such as targeted drug delivery, environmental monitoring, etc. However, de...
Computer Simulation Nanotechnology Computers, Molecular Neural Networks, Computer Humans Algorithms
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Leveraging Extended Windows in End-to-End Deep Learning for Improved Continuous Myoelectric Locomotion Prediction.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 26, 2025
Current surface electromyography (sEMG) methods for locomotion mode prediction face limitations in anticipatory capability due to computation delays and constrained window lengths typically below 500 ms-a practice historically tied to stationarity re...
Young Adult Locomotion Electromyography Algorithms Deep Learning Humans Computer Simulation Muscle, Skeletal Gait Neural Networks, Computer Adult Female Male
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Universality of reservoir systems with recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2025
Approximation capability of reservoir systems whose reservoir is a recurrent neural network (RNN) is discussed. We show what we call uniform strong universality of RNN reservoir systems for a certain class of dynamical systems. This means that, given...
Recurrent Neural Networks Neural Networks, Computer Algorithms Computer Simulation
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Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2025
The fixed-time synchronization (FXS) is considered for memristive complex-valued competitive neural networks (MCVCNNs) with proportional delays. Two less conservative criteria supporting the FXS of MCVCNNs are founded by involving Lyapunov method and...
Neural Networks, Computer Computer Simulation Time Factors Algorithms
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A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems.

IEEE transactions on bio-medical engineering Mar 21, 2025
This paper proposes a method to learn approximations of missing Ordinary Differential Equations (ODEs) and states in physiological models where knowledge of the system's relevant states and dynamics is incomplete. The proposed method augments known O...
Models, Biological Humans Neural Networks, Computer Computer Simulation Bayes Theorem Algorithms
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[Simulators and simulation for advanced training in orthopedic and trauma surgery : An overview].

Unfallchirurgie (Heidelberg, Germany) Mar 20, 2025
Simulators and immersive technologies, such as virtual reality and augmented reality are becoming increasingly more important for training in orthopedic and trauma surgery. They enable safe and standardized training of surgical skills and contribute ...
Clinical Competence Virtual Reality Augmented Reality Humans Simulation Training Orthopedic Procedures Computer Simulation Traumatology Orthopedics Acute Care Surgery
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A Review of In Silico Approaches for Discovering Natural Viral Protein Inhibitors in Aquaculture Disease Control.

Journal of fish diseases Mar 20, 2025
Viral diseases pose a significant threat to the sustainability of global aquaculture, causing economic losses and compromising food security. Traditional control methods often demonstrate limited effectiveness, highlighting the need for alternative a...
Animals Molecular Docking Simulation Drug Discovery Computer Simulation Aquaculture Fish Diseases Fishes Antiviral Agents Biological Products Virus Diseases Viral Proteins
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