AIMC Topic: Monte Carlo Method

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Groundwater health risk assessment and its temporal and spatial evolution based on trapezoidal fuzzy number-Monte Carlo stochastic simulation: A case study in western Jilin province.

Ecotoxicology and environmental safety Jul 17, 2024
The United States Environmental Protection Agency (USEPA) Four-step-Method (FSM) is a straightforward and extensively utilized tool for evaluating regional health risks, However, the complex and heterogeneous groundwater environment system causes gre...
Monte Carlo Method Stochastic Processes Uncertainty Fuzzy Logic Water Quality Spatio-Temporal Analysis China Environmental Monitoring Water Pollutants, Chemical Groundwater Humans Risk Assessment
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Deep network embedding with dimension selection.

Neural networks : the official journal of the International Neural Network Society Jul 11, 2024
Network embedding is a general-purpose machine learning technique that converts network data from non-Euclidean space to Euclidean space, facilitating downstream analyses for the networks. However, existing embedding methods are often optimization-ba...
Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer Markov Chains Monte Carlo Method
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Artificial neural networks trained on simulated multispectral data for real-time imaging of skin microcirculatory blood oxygen saturation.

Journal of biomedical optics Jul 10, 2024
SIGNIFICANCE: Imaging blood oxygen saturation ( ) in the skin can be of clinical value when studying ischemic tissue. Emerging multispectral snapshot cameras enable real-time imaging but are limited by slow analysis when using inverse Monte Carlo (M...
Oxygen Saturation Monte Carlo Method Microcirculation Oxygen Skin Humans Computer Simulation Neural Networks, Computer Image Processing, Computer-Assisted
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Efficient and scalable prediction of stochastic reaction-diffusion processes using graph neural networks.

Mathematical biosciences Jul 8, 2024
The dynamics of locally interacting particles that are distributed in space give rise to a multitude of complex behaviours. However the simulation of reaction-diffusion processes which model such systems is highly computationally expensive, the cost ...
Models, Biological Monte Carlo Method Stochastic Processes Neural Networks, Computer Computer Simulation
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Bioplastic derived from corn stover: Life cycle assessment and artificial intelligence-based analysis of uncertainty and variability.

The Science of the total environment Jun 27, 2024
Exploring feasible and renewable alternatives to reduce dependency on traditional fossil-based plastics is critical for sustainable development. These alternatives can be produced from biomass, which may have large uncertainties and variabilities in ...
Uncertainty Global Warming Zea mays Polyesters Monte Carlo Method Artificial Intelligence Plastics
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URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation.

Computer methods and programs in biomedicine Jun 11, 2024
BACKGROUND AND OBJECTIVE: Training convolutional neural networks based on large amount of labeled data has made great progress in the field of image segmentation. However, in medical image segmentation tasks, annotating the data is expensive and time...
Algorithms Brain Neoplasms Magnetic Resonance Imaging Supervised Machine Learning Humans Monte Carlo Method Neural Networks, Computer Uncertainty Image Processing, Computer-Assisted
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Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models.

Medical decision making : an international journal of the Society for Medical Decision Making Jun 10, 2024
PURPOSE: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)'s SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally valida...
Computer Simulation Colorectal Neoplasms Calibration Humans Bayes Theorem Monte Carlo Method Neural Networks, Computer Algorithms
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Integrating machine learning with -SAS for enhanced structural analysis in small-angle scattering: applications in biological and artificial macromolecular complexes.

The European physical journal. E, Soft matter Jun 3, 2024
Small-Angle Scattering (SAS), encompassing both X-ray (SAXS) and Neutron (SANS) techniques, is a crucial tool for structural analysis at the nanoscale, particularly in the realm of biological macromolecules. This paper explores the intricacies of SAS...
Scattering, Small Angle Neutron Diffraction X-Ray Diffraction Monte Carlo Method Machine Learning Macromolecular Substances
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A Deep-Learning-Based Partial-Volume Correction Method for Quantitative Lu SPECT/CT Imaging.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jun 3, 2024
With the development of new radiopharmaceutical therapies, quantitative SPECT/CT has progressively emerged as a crucial tool for dosimetry. One major obstacle of SPECT is its poor resolution, which results in blurring of the activity distribution. Es...
Phantoms, Imaging Single Photon Emission Computed Tomography Computed Tomography Lutetium Monte Carlo Method Radioisotopes Deep Learning Image Processing, Computer-Assisted Humans
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An indirect estimation of x-ray spectrum via convolutional neural network and transmission measurement.

Physics in medicine and biology May 30, 2024
In this work, we aim to propose an accurate and robust spectrum estimation method by synergistically combining x-ray imaging physics with a convolutional neural network (CNN).The approach relies on transmission measurements, and the estimated spectru...
X-Rays Monte Carlo Method Neural Networks, Computer Phantoms, Imaging Image Processing, Computer-Assisted
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