AIMC Topic: Computer Simulation

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The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study.

Journal of biopharmaceutical statistics Oct 11, 2023
The development of next-generation sequencing (NGS) opens opportunities for new applications such as liquid biopsy, in which tumor mutation genotypes can be determined by sequencing circulating tumor DNA after blood draws. However, with highly dilute...
Humans Genotype Mutation Liquid Biopsy Circulating Tumor DNA Computer Simulation High-Throughput Nucleotide Sequencing Machine Learning Algorithms Biomarkers, Tumor
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Deterministic learning-based neural identification and knowledge fusion.

Neural networks : the official journal of the International Neural Network Society Oct 11, 2023
Recent deterministic learning methods have achieved locally-accurate identification of unknown system dynamics. However, the locally-accurate identification means that the neural networks can only capture the local dynamics knowledge along the system...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer Artificial Intelligence
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An improved multiply robust estimator for the average treatment effect.

BMC medical research methodology Oct 11, 2023
BACKGROUND: In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the average treatment effect (ATE). How...
Computer Simulation Longitudinal Studies Models, Statistical Probability Humans Machine Learning
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Predicting discrete-time bifurcations with deep learning.

Nature communications Oct 10, 2023
Many natural and man-made systems are prone to critical transitions-abrupt and potentially devastating changes in dynamics. Deep learning classifiers can provide an early warning signal for critical transitions by learning generic features of bifurca...
Deep Learning Heart Humans Computer Simulation
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Rapid runtime learning by curating small datasets of high-quality items obtained from memory.

PLoS computational biology Oct 4, 2023
We propose the "runtime learning" hypothesis which states that people quickly learn to perform unfamiliar tasks as the tasks arise by using task-relevant instances of concepts stored in memory during mental training. To make learning rapid, the hypot...
Self Concept Mental Processes Humans Neural Networks, Computer Machine Learning Computer Simulation
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Robotic Simulation in Urologic Surgery.

Rhode Island medical journal (2013) Oct 2, 2023
Robotic surgery continues to revolutionize the field of urologic surgery, and thus it is crucial that graduating urologic surgery residents demonstrate proficiency with this technology. The large learning curve of utilizing robotic technology limits ...
Humans Computer Simulation Robotic Surgical Procedures Curriculum Internship and Residency Clinical Competence Robotics Simulation Training Urologic Surgical Procedures
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Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT.

IEEE transactions on medical imaging Oct 2, 2023
Accurate scatter estimation is important in quantitative SPECT for improving image contrast and accuracy. With a large number of photon histories, Monte-Carlo (MC) simulation can yield accurate scatter estimation, but is computationally expensive. Re...
Computer Simulation Image Processing, Computer-Assisted Humans Neural Networks, Computer Phantoms, Imaging Monte Carlo Method Tomography, Emission-Computed, Single-Photon Scattering, Radiation Torso
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An integrated modelling framework for multiple pollution source identification in surface water.

Journal of environmental management Sep 29, 2023
Pollution source identification is vital in water safety management. An integrated simulation-optimization modelling framework comprising a process-based hydrodynamic water quality model, artificial neural network surrogate model and particle swarm o...
Rivers Computer Simulation Water Quality Neural Networks, Computer Algorithms
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Fish-inspired robotic algorithm: mimicking behaviour and communication of schooling fish.

Bioinspiration & biomimetics Sep 27, 2023
This study aims to present a novel flocking algorithm for robotic fish that will aid the study of fish in their natural environment. The algorithm, fish-inspired robotic algorithm (FIRA), amalgamates the standard flocking behaviors of attraction, ali...
Algorithms Computer Simulation Schools Animals Fishes Communication Robotics
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A performance comparison of machine learning models for stock market prediction with novel investment strategy.

PloS one Sep 21, 2023
Stock market forecasting is one of the most challenging problems in today's financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) method...
Research Personnel Investments Computer Simulation Humans Random Forest Machine Learning
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