AIMC Topic: Computer Simulation

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High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning.

Physics in medicine and biology Apr 3, 2023
. Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. However, even with the graphics processing unit (GPU) acceleration, the heavy computational load remains a major challenge, especially in large-scale, h...
Humans Neural Networks, Computer Computer Simulation Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status.

CPT: pharmacometrics & systems pharmacology Mar 31, 2023
Oncology treatments require continuous individual adjustment based on the measurement of multiple clinical parameters. Prediction tools exploiting the patterns present in the clinical data could be used to assist decision making and ease the burden a...
Humans Artificial Intelligence Computer Simulation Systems Biology Pancreatic Neoplasms
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CSI-Based Human Activity Recognition Using Multi-Input Multi-Output Autoencoder and Fine-Tuning.

Sensors (Basel, Switzerland) Mar 30, 2023
Wi-Fi-based human activity recognition (HAR) has gained considerable attention recently due to its ease of use and the availability of its infrastructures and sensors. Channel state information (CSI) captures how Wi-Fi signals are transmitted through...
Humans Machine Learning Computer Simulation Human Activities
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Modular robot interface for a smart operating theater.

Journal of robotic surgery Mar 28, 2023
This paper discusses the architecture and implementation of a modular component of the smart operating theater digital twin, designed to control robotic equipment-the robot interface module. This interface is designed to ensure equipment operation bo...
Humans Computer Simulation User-Computer Interface Robotics Robotic Surgical Procedures Surgery, Computer-Assisted
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Fixed/prescribed-time synchronization of BAM memristive neural networks with time-varying delays via convex analysis.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2023
The synchronization problem of bidirectional associative memory memristive neural networks (BAMMNNs) with time-varying delays plays an essential role in the implementation and application of neural networks. Firstly, under the framework of the Filipp...
Neural Networks, Computer Algorithms Computer Simulation Time Factors
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A method for real-time mechanical characterisation of microcapsules.

Biomechanics and modeling in mechanobiology Mar 24, 2023
Characterising the mechanical properties of flowing microcapsules is important from both fundamental and applied points of view. In the present study, we develop a novel multilayer perceptron (MLP)-based machine learning (ML) approach, for real-time ...
Neural Networks, Computer Machine Learning Computer Simulation Capsules
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A myoelectric digital twin for fast and realistic modelling in deep learning.

Nature communications Mar 23, 2023
Muscle electrophysiology has emerged as a powerful tool to drive human machine interfaces, with many new recent applications outside the traditional clinical domains, such as robotics and virtual reality. However, more sophisticated, functional, and ...
Humans Algorithms Computer Simulation Deep Learning Muscle, Skeletal Electromyography
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CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks.

Neural networks : the official journal of the International Neural Network Society Mar 21, 2023
In this paper we present CHARLES (C++ pHotonic Aware neuRaL nEtworkS), a C++ library aimed at providing a flexible tool to simulate the behavior of Photonic-Aware Neural Network (PANN). PANNs are neural network architectures aware of the constraints ...
Neural Networks, Computer Computers Computer Simulation
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Parallelized ultrasound homodyned-K imaging based on a generalized artificial neural network estimator.

Ultrasonics Mar 20, 2023
The homodyned-K (HK) distribution model is a generalized backscatter envelope statistical model for ultrasound tissue characterization, whose parameters are of physical meaning. To estimate the HK parameters is an inverse problem, and is quite compli...
Humans Neural Networks, Computer Computer Simulation Ultrasonography Fatty Liver Models, Statistical
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Robust classification using average correlations as features (ACF).

BMC bioinformatics Mar 20, 2023
MOTIVATION: In single-cell transcriptomics and other omics technologies, large fractions of missing values commonly occur. Researchers often either consider only those features that were measured for each instance of their dataset, thereby accepting ...
Machine Learning Algorithms Computer Simulation Gene Expression Profiling Cluster Analysis
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