AIMC Topic: Computer Simulation

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Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2023
The asynchronous dissipative stabilization for stochastic Markov-switching neural networks (SMSNNs) is investigated. The aim is to design an output-feedback controller with inconsistent mode switching to ensure that the SMSNN is stochastically stable...
Neural Networks, Computer Markov Chains Uncertainty Feedback Computer Simulation
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Machine learning assisted hepta band THz metamaterial absorber for biomedical applications.

Scientific reports Jan 31, 2023
A hepta-band terahertz metamaterial absorber (MMA) with modified dual T-shaped resonators deposited on polyimide is presented for sensing applications. The proposed polarization sensitive MMA is ultra-thin (0.061 λ) and compact (0.21 λ) at its lowest...
Physical Examination Computer Simulation Machine Learning Electricity Electric Impedance
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Simulation-to-real generalization for deep-learning-based refraction-corrected ultrasound tomography image reconstruction.

Physics in medicine and biology Jan 27, 2023
. The image reconstruction of ultrasound computed tomography is computationally expensive with conventional iterative methods. The fully learned direct deep learning reconstruction is promising to speed up image reconstruction significantly. However,...
Image Processing, Computer-Assisted Deep Learning Algorithms Neural Networks, Computer Tomography, X-Ray Computed Computer Simulation
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A hybrid intelligent model for early validation of infectious diseases: An explorative study of machine learning approaches.

Microscopy research and technique Jan 26, 2023
Literature reports several infectious diseases news validation approaches, but none is economically effective for collecting and classifying information on different infectious diseases. This work presents a hybrid machine-learning model that could p...
Humans Random Forest Communicable Diseases Machine Learning Computer Simulation
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Detector shifting and deep learning based ring artifact correction method for low-dose CT.

Medical physics Jan 25, 2023
BACKGROUND: In x-ray computed tomography (CT), the gain inconsistency of detector units leads to ring artifacts in the reconstructed images, seriously destroys the image structure, and is not conducive to image recognition. In addition, to reduce rad...
Image Processing, Computer-Assisted Artifacts Deep Learning Algorithms Tomography, X-Ray Computed Computer Simulation
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Prediction of human thermal comfort preference based on supervised learning.

Journal of thermal biology Jan 25, 2023
Human thermal comfort is relevant to human life comfort and plays a pivotal role in occupational health and thermal safety. To ensure that intelligent temperature-controlled equipment can deliver a sense of cosiness to people while improving its ener...
Supervised Machine Learning Computer Simulation Thermosensing Humans Temperature
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Control and study of bio-inspired quadrupedal gaits on an underactuated miniature robot.

Bioinspiration & biomimetics Jan 25, 2023
This paper presents a linear quadratic Gaussian (LQG) controller for controlling the gait of a miniature, foldable quadruped robot with individually actuated and controlled legs (MinIAQ-III). The controller is implemented on a palm-size robot made by...
Animals Robotics Feedback Computer Simulation Horses Gait
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dtiRIM: A generalisable deep learning method for diffusion tensor imaging.

NeuroImage Jan 24, 2023
Diffusion weighted MRI is an indispensable tool for routine patient screening and diagnostics of pathology. Recently, several deep learning methods have been proposed to quantify diffusion parameters, but poor generalisation to new data prevents broa...
Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Deep Learning Humans Computer Simulation Software
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A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model.

Computational intelligence and neuroscience Jan 23, 2023
A nonlinear error correction model (ECM) is developed to fit nonlinear relationships between the nonstationary time series in a cointegration relationship. Different from the previous parametric methods, this paper constructs a hybrid neural network ...
Neural Networks, Computer Algorithms Time Factors Nonlinear Dynamics Computer Simulation
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A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2023
In this paper, a subgradient-based neurodynamic algorithm is presented to solve the nonsmooth nonconvex interval-valued optimization problem with both partial order and linear equality constraints, where the interval-valued objective function is nonc...
Algorithms Computer Simulation Neural Networks, Computer
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