Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning

Article Materials Science, Multidisciplinary

Exploring the use of machine learning for interpreting electrochemical impedance spectroscopy data: evaluation of the training dataset size

V. Bongiorno et al.

Summary: This study explores the potential use of machine learning algorithms to interpret electrochemical impedance spectroscopy (EIS) data, focusing on classification and fitting scenarios. The traditional approach based on equivalent circuit modeling is difficult to automate and has limited industrial applications.

CORROSION SCIENCE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning

Abdur Rahim Mohammad Forkan et al.

Summary: In this paper, a new technique that utilizes automated image analysis for structural corrosion monitoring is proposed, and its improved efficacy compared to existing approaches is demonstrated. The study shows that the ensemble deep learning approach of CorrDetector significantly outperforms the state-of-the-art in terms of classification accuracy.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Review Materials Science, Multidisciplinary

Reviewing machine learning of corrosion prediction in a data-oriented perspective

Leonardo Bertolucci Coelho et al.

Summary: This work provides a data-oriented overview of machine learning applied to predicting electrochemical corrosion, creating a database to guide experts and developers and discussing potential research gaps and recommendations.

NPJ MATERIALS DEGRADATION (2022)

添加到收藏夹

Article Electrochemistry

Experimental characterization, machine learning analysis and computational modelling of the high effective inhibition of copper corrosion by 5-(4-pyridyl)-1,3,4-oxadiazole-2-thiol in saline environment

Simona Varvara et al.

Summary: A novel oxadiazole derivative has been found effective in inhibiting copper corrosion, forming a compact protective film mainly composed of organic molecules. Machine learning algorithms combined with Raman spectroscopy can distinguish between corroded and inhibitor-protected metal surfaces, providing a new approach to corrosion studies.

ELECTROCHIMICA ACTA (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Moloud Abdar et al.

Summary: Uncertainty quantification (UQ) methods are essential in reducing uncertainties in optimization and decision making processes. Bayesian approximation and ensemble learning techniques are widely used types of UQ methods.

INFORMATION FUSION (2021)

添加到收藏夹

Article Archaeology