Machine-Learning-Based Methods for Acoustic Emission Testing: A Review

Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review

There is an increasing interest in researchers and companies on the combination of Distributed Acoustic Sensing (DAS) and a Pattern Recognition System (PRS) to detect and classify potentially dangerous events that occur in areas above fiber optic cables deployed along active pipelines, aiming to construct pipeline surveillance systems. This paper presents a review of the literature in what resp...

A Machine Learning Approach for Locating Acoustic Emission

This paper reports on the feasibility of locating microcracks using multiple-sensor measurements of the acoustic emissions (AEs) generated by crack inception and propagation. Microcrack localization has obvious application in non-destructive structural health monitoring. Experimental data was obtained by inducing the cracks in rock specimens during a surface instability test, which simulates fa...

Ensemble machine learning methods for acoustic modeling of speech

A Review of Machine Learning Methods Machine Learning and Data Mining: Methods and Applications, Edited 1.2 the Machine Learning Task

The eld of machine learning was conceived nearly four decades ago with the bold objective to develop computational methods that would implement various forms of learning, in particular mechanisms capable of inducing knowledge from examples or data. As software development has become one of the main bottlenecks of today's computer technology, the idea of introducing knowledge into computers by w...

A review of Nyström methods for large-scale machine learning

Generating a low-rank matrix approximation is very important in large-scale machine learning applications. The standard Nyström method is one of the state-of-the-art techniques to generate such an approximation. It has got rapid developments since being applied to Gaussian process regression. Several enhanced Nyström methods such as ensemble Nyström, modified Nyström and SS-Nyström have been pr...