Bayesian inversion - Open Access .click

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Prediction of Refracturing Effect of Tight Gas Reservoirs Based on Bayesian Inversion Algorithm. [PDF]

Comput Intell Neurosci, 2022
Lin H, Zhou F, Tian Y, Wang Y.
europepmc +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source

Bayesian inversion of a diffusion model with application to biology. [PDF]

J Math Biol, 2021
Croix JC, Durrande N, Alvarez MA.
europepmc +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source

A Passive Source Location Method in a Shallow Water Waveguide with a Single Sensor Based on Bayesian Theory

Sensors, 2019
Bayesian methodology is a good way to infer unknown parameters in a marine environment. A passive source location method in a shallow water waveguide with a single sensor based on Bayesian theory is presented in this paper.
Xiaoman Li +3 more
doaj +1 more source

Radiomics Based Bayesian Inversion Method for Prediction of Cancer and Pathological Stage. [PDF]

IEEE J Transl Eng Health Med, 2021
Shakir H, Khan T, Rasheed H, Deng Y.
europepmc +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson +2 more
wiley +1 more source

Global Coronal Magnetic Field Estimation Using Bayesian Inference

The Astrophysical Journal
Estimating the magnetic field strength in the solar corona is crucial for understanding different physical processes happening over diverse spatiotemporal scales.
Upasna Baweja, Vaibhav Pant, Iñigo Arregui +2 more
doaj +1 more source

Detection performance and inversion processing of logging-while-drilling extra-deep azimuthal resistivity measurements

Petroleum Science, 2019
We present systematic investigations on the physics, detection performance and inversion of logging-while-drilling extra-deep azimuthal resistivity measurements (EDARM).
Lei Wang +5 more
doaj +1 more source

bayesian inference
uncertainty quantification
machine learning