AIMC Topic: Computer Simulation

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Convolutional neural networks used for random structure SPP gratings spectral response prediction.

Optics letters Jan 15, 2023
Data-driven design approaches based on deep learning have been introduced into nanophotonics to reduce time-consuming iterative simulations, which have been a major challenge. Here, we report a convolutional neural network (CNN) used to perform the p...
Neural Networks, Computer Computer Simulation
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A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2023
The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, which is crucial to improving patients' quality of life. Many deep learning-based methods have been developed to tackle this issue and achieve significa...
Humans Algorithms Computer Simulation Sensitivity and Specificity Animals Quality of Life Deep Learning Predictive Value of Tests Electroencephalography Epilepsy Seizures Dogs
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Coded aperture compressive temporal imaging using complementary codes and untrained neural networks for high-quality reconstruction.

Optics letters Jan 1, 2023
The coded aperture compressive temporal imaging (CACTI) modality is capable of capturing dynamic scenes with only a single-shot of a 2D detector. In this Letter, we present a specifically designed CACTI system to boost the reconstruction quality. Our...
Neural Networks, Computer Algorithms Computer Simulation Diagnostic Imaging
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GPU-accelerated approximate kernel method for quantum machine learning.

The Journal of chemical physics Dec 7, 2022
We introduce Quantum Machine Learning (QML)-Lightning, a PyTorch package containing graphics processing unit (GPU)-accelerated approximate kernel models, which can yield trained models within seconds. QML-Lightning includes a cost-efficient GPU imple...
Machine Learning Algorithms Computer Simulation Computer Graphics
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Using kernel-based statistical distance to study the dynamics of charged particle beams in particle-based simulation codes.

Physical review. E Dec 1, 2022
Measures of discrepancy between probability distributions (statistical distance) are widely used in the fields of artificial intelligence and machine learning. We describe how certain measures of statistical distance can be implemented as numerical d...
Artificial Intelligence Computer Simulation
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Adaptive synapse-based neuron model with heterogeneous multistability and riddled basins.

Chaos (Woodbury, N.Y.) Dec 1, 2022
Biological neurons can exhibit complex coexisting multiple firing patterns dependent on initial conditions. To this end, this paper presents a novel adaptive synapse-based neuron (ASN) model with sine activation function. The ASN model has time-varyi...
Neural Networks, Computer Algorithms Computer Simulation Neurons Synapses
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Hybrid wavelet-gene expression programming and wavelet-support vector machine models for rainfall-runoff modeling.

Water science and technology : a journal of the International Association on Water Pollution Research Dec 1, 2022
It is critical to use research methods to collect and regulate surface water to provide water while avoiding damage. Following accurate runoff prediction, principled planning for optimal runoff is implemented. In recent years, there has been an incre...
Computer Simulation Water Support Vector Machine Gene Expression Rivers Water Movements
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Artificial intelligence can improve patients' experience in decentralized clinical trials.

Nature medicine Dec 1, 2022
Humans Artificial Intelligence Algorithms Computer Simulation
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Neural Network Approaches for Soft Biological Tissue and Organ Simulations.

Journal of biomechanical engineering Dec 1, 2022
Given the functional complexities of soft tissues and organs, it is clear that computational simulations are critical in their understanding and for the rational basis for the development of therapies and replacements. A key aspect of such simulation...
Neural Networks, Computer Computer Simulation Models, Biological Finite Element Analysis
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Universal Solution Manifold Networks (USM-Nets): Non-Intrusive Mesh-Free Surrogate Models for Problems in Variable Domains.

Journal of biomechanical engineering Dec 1, 2022
We introduce universal solution manifold network (USM-Net), a novel surrogate model, based on artificial neural networks (ANNs), which applies to differential problems whose solution depends on physical and geometrical parameters. We employ a mesh-le...
Neural Networks, Computer Computer Simulation
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