AIMC Topic: Computer Simulation

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Relaxed stability criteria of delayed neural networks using delay-parameters-dependent slack matrices.

Neural networks : the official journal of the International Neural Network Society Aug 30, 2024
This note aims to reduce the conservatism of stability criteria for neural networks with time-varying delay. To this goal, on the one hand, we construct an augmented Lyapunov-Krasovskii functional (LKF), incorporating some delay-product terms that ca...
Time Factors Neural Networks, Computer Algorithms Computer Simulation
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Aperiodically intermittent quantized control-based exponential synchronization of quaternion-valued inertial neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2024
Inertial neural networks are proposed via introducing an inertia term into the Hopfield models, which make their dynamic behavior more complex compared to the traditional first-order models. Besides, the aperiodically intermittent quantized control o...
Nonlinear Dynamics Humans Computer Simulation Neural Networks, Computer Feedback Algorithms
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Bioinspired deformation computational design method for muscle-driven soft robots using MPM.

Bioinspiration & biomimetics Aug 29, 2024
In order to adapt to complex and changing environments, animals have a wide variety of locomotor forms, which has inspired the investigation of their deformation and driving mechanisms. In this paper, we propose a computational design method for musc...
Robotics Equipment Design Animals Muscle, Skeletal Locomotion Anura Models, Biological Humans Biomimetics Computer Simulation
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Approaching Optimal pH Enzyme Prediction with Large Language Models.

ACS synthetic biology Aug 28, 2024
Enzymes are widely used in biotechnology due to their ability to catalyze chemical reactions: food making, laundry, pharmaceutics, textile, brewing─all these areas benefit from utilizing various enzymes. Proton concentration (pH) is one of the key fa...
Enzymes Computer Simulation Hydrogen-Ion Concentration Machine Learning
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Comprehensive modeling of corkscrew motion in micro-/nano-robots with general helical structures.

Nature communications Aug 27, 2024
Micro-/nano-robots (MNRs) have impressive potential in minimally invasive targeted therapeutics through blood vessels, which has disruptive impact to improving human health. However, the clinical use of MNRs has yet to happen due to intrinsic limitat...
Motion Nanotechnology Robotics Equipment Design Hydrodynamics Humans Computer Simulation Models, Theoretical
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Asynchronous iterative Q-learning based tracking control for nonlinear discrete-time multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2024
This paper addresses the tracking control problem of nonlinear discrete-time multi-agent systems (MASs). First, a local neighborhood error system (LNES) is constructed. Then, a novel tracking algorithm based on asynchronous iterative Q-learning (AIQL...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer Machine Learning Humans
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A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in silico biomarkers.

CPT: pharmacometrics & systems pharmacology Aug 26, 2024
This study addresses the critical issue of drug-induced torsades de pointes (TdP) risk assessment, a vital aspect of new drug development due to its association with arrhythmia and sudden cardiac death. Existing methodologies, particularly those reli...
Neural Networks, Computer Machine Learning Humans Cardiotoxicity Risk Assessment Torsades de Pointes Support Vector Machine Biomarkers Computer Simulation
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PathMLP: Smooth path towards high-order homophily.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2024
Real-world graphs exhibit increasing heterophily, where nodes no longer tend to be connected to nodes with the same label, challenging the homophily assumption of classical graph neural networks (GNNs) and impeding their performance. Intriguingly, fr...
Neural Networks, Computer Algorithms Computer Simulation
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The Artificial Neural Twin - Process optimization and continual learning in distributed process chains.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2024
Industrial process optimization and control is crucial to increase economic and ecologic efficiency. However, data sovereignty, differing goals, or the required expert knowledge for implementation impede holistic implementation. Further, the increasi...
Industry Artificial Intelligence Algorithms Computer Simulation Humans Deep Learning Neural Networks, Computer
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Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization.

International journal of neural systems Aug 23, 2024
Since the spiking neural P system (SN P system) was proposed in 2006, it has become a research hotspot in the field of membrane computing. The SN P system performs computations through the encoding, processing, and transmission of spiking information...
Computer Simulation Models, Neurological Humans Neurons Action Potentials Animals Neural Networks, Computer
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