AIMC Topic: Computer Simulation

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Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2023
This paper is concerned with non-fragile output-feedback control for time-delay neural networks with persistent dwell time (PDT) switching in a continuous-time setting. The main purpose is to design an output-feedback controller subject to gain fluct...
Computer Simulation Feedback Time Neural Networks, Computer Algorithms
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A support vector machine-based cure rate model for interval censored data.

Statistical methods in medical research Nov 8, 2023
The mixture cure rate model is the most commonly used cure rate model in the literature. In the context of mixture cure rate model, the standard approach to model the effect of covariates on the cured or uncured probability is to use a logistic funct...
Survival Analysis Proportional Hazards Models Support Vector Machine Models, Statistical Computer Simulation Humans Algorithms
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Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment.

Academic medicine : journal of the Association of American Medical Colleges Nov 7, 2023
PURPOSE: In late 2022 and early 2023, reports that ChatGPT could pass the United States Medical Licensing Examination (USMLE) generated considerable excitement, and media response suggested ChatGPT has credible medical knowledge. This report analyzes...
Language Learning Computer Simulation Knowledge Humans Artificial Intelligence
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Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

PLoS genetics Nov 7, 2023
Investigators have recently introduced powerful methods for population genetic inference that rely on supervised machine learning from simulated data. Despite their performance advantages, these methods can fail when the simulated training data does ...
Machine Learning Computer Simulation Neural Networks, Computer Genetics, Population Supervised Machine Learning
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Medical image analysis using deep learning algorithms.

Frontiers in public health Nov 7, 2023
In the field of medical image analysis within deep learning (DL), the importance of employing advanced DL techniques cannot be overstated. DL has achieved impressive results in various areas, making it particularly noteworthy for medical image analys...
Deep Learning Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Computer Simulation
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The application of objective clinical human reliability analysis (OCHRA) in the assessment of basic robotic surgical skills.

Surgical endoscopy Nov 6, 2023
BACKGROUND: Using a validated, objective, and standardised assessment tool to assess progression and competency is essential for basic robotic surgical training programmes. Objective clinical human reliability analysis (OCHRA) is an error-based asses...
Computer Simulation Clinical Competence Reproducibility of Results Robotics Humans Virtual Reality Robotic Surgical Procedures
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Soft robotics informs how an early echinoderm moved.

Proceedings of the National Academy of Sciences of the United States of America Nov 6, 2023
The transition from sessile suspension to active mobile detritus feeding in early echinoderms (c.a. 500 Mya) required sophisticated locomotion strategies. However, understanding locomotion adopted by extinct animals in the absence of trace fossils an...
Computer Simulation Locomotion Animals Echinodermata Robotics Gait
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Bridging Neuroscience and Robotics: Spiking Neural Networks in Action.

Sensors (Basel, Switzerland) Nov 1, 2023
Robots are becoming increasingly sophisticated in the execution of complex tasks. However, an area that requires development is the ability to act in dynamically changing environments. To advance this, developments have turned towards understanding t...
Humans Brain Robotics Neural Networks, Computer Computer Simulation Electroencephalography
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Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.

Neural networks : the official journal of the International Neural Network Society Oct 31, 2023
This work addresses the quasi-synchronization of delay master-slave BAM neural networks. To improve the utilization of channel bandwidth, a dynamic event-triggered impulsive mechanism is employed, in which data is transmitted only when a preset event...
Time Factors Computer Simulation Reproducibility of Results Neural Networks, Computer Algorithms
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Biomarker detection using corrected degree of domesticity in hybrid social network feature selection for improving classifier performance.

BMC bioinformatics Oct 30, 2023
BACKGROUND: Dimension reduction, especially feature selection, is an important step in improving classification performance for high-dimensional data. Particularly in cancer research, when reducing the number of features, i.e., genes, it is important...
Computer Simulation Social Networking Biomarkers Machine Learning Algorithms
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