AIMC Topic: Computer Simulation

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Effects of maximum thickness position on hydrodynamic performance for fish-like swimmers.

Bioinspiration & biomimetics Nov 27, 2024
When designing the internals of robotic fish, variations in the internal arrangements of power and control systems cause differences in external morphological structures, particularly the positions of maximum thickness. These differences considerably...
Computer Simulation Hydrodynamics Fishes Acceleration Animals Equipment Design Biomimetics Models, Biological Robotics Swimming
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Optimization control for mean square synchronization of stochastic semi-Markov jump neural networks with non-fragile hidden information and actuator saturation.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2024
This paper studies the asynchronous output feedback control and H synchronization problems for a class of continuous-time stochastic hidden semi-Markov jump neural networks (SMJNNs) affected by actuator saturation. Initially, a novel neural networks ...
Markov Chains Stochastic Processes Computer Simulation Feedback Neural Networks, Computer Algorithms
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Iterative neural networks for improving memory capacity.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2024
In recent years, the problem of the multistability of neural networks has been studied extensively. From the research results obtained, the number of stable equilibrium points depends only on a power form of the network dimension. However, in practic...
Computer Simulation Neural Networks, Computer Memory Algorithms Humans
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Finite-time optimal control for MMCPS via a novel preassigned-time performance approach.

Neural networks : the official journal of the International Neural Network Society Nov 22, 2024
This paper studies the finite-time optimal stabilization problem of the macro-micro composite positioning stage (MMCPS). The dynamic model of the MMCPS is established as an interconnected system according to the Newton's second law. Different from ex...
Algorithms Computer Simulation Time Factors Reinforcement, Psychology Humans Neural Networks, Computer Vibration
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Shortcomings in the Evaluation of Blood Glucose Forecasting.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Recent years have seen an increase in machine learning (ML)-based blood glucose (BG) forecasting models, with a growing emphasis on potential application to hybrid or closed-loop predictive glucose controllers. However, current approaches ...
Machine Learning Algorithms Humans Blood Glucose Forecasting Blood Glucose Self-Monitoring Computer Simulation
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An improved trajectory tracking control of quadcopter using a novel Sliding Mode Control with Fuzzy PID Surface.

PloS one Nov 21, 2024
This paper presents Super Twisting Sliding Mode Control with a novel Fuzzy PID Surface for improved trajectory tracking of quadrotor unmanned aerial vehicles under external disturbances. First, quadrotor dynamic model with six degrees of freedom (6-D...
Fuzzy Logic Algorithms Unmanned Aerial Devices Computer Simulation Models, Theoretical
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Learning extreme expected shortfall and conditional tail moments with neural networks. Application to cryptocurrency data.

Neural networks : the official journal of the International Neural Network Society Nov 20, 2024
We propose a neural networks method to estimate extreme Expected Shortfall, and even more generally, extreme conditional tail moments as functions of confidence levels, in heavy-tailed settings. The convergence rate of the uniform error between the l...
Humans Computer Simulation Neural Networks, Computer Algorithms
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Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas.

Water research Nov 19, 2024
Urban flooding has become a prevalent issue in cities worldwide. Urban flood dynamics differ significantly from those in natural watersheds, primarily because of the intricate drainage systems and the high spatial heterogeneity of urban surfaces, whi...
Cities Floods Models, Theoretical Computer Simulation Deep Learning
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Diminishing spectral bias in physics-informed neural networks using spatially-adaptive Fourier feature encoding.

Neural networks : the official journal of the International Neural Network Society Nov 18, 2024
Physics-informed neural networks (PINNs) have recently emerged as a promising framework for solving partial differential equation (PDE) systems in computer mechanics. However, PINNs still struggle in simulating systems whose solution functions exhibi...
Algorithms Computer Simulation Fourier Analysis Physics Neural Networks, Computer
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Toward trustable use of machine learning models of variant effects in the clinic.

American journal of human genetics Nov 18, 2024
There has been considerable progress in building models to predict the effect of missense substitutions in protein-coding genes, fueled in large part by progress in applying deep learning methods to sequence data. These models have the potential to e...
Computer Simulation Deep Learning Humans Machine Learning Mutation, Missense Models, Genetic Genetic Variation
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