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From clustering to clustering ensemble selection: A review
Clustering, as an unsupervised learning, is aimed at discovering the natural grou**s of a
set of patterns, points, or objects. In clustering algorithms, a significant problem is the …
set of patterns, points, or objects. In clustering algorithms, a significant problem is the …
Cluster ensembles: A survey of approaches with recent extensions and applications
Cluster ensembles have been shown to be better than any standard clustering algorithm at
improving accuracy and robustness across different data collections. This meta-learning …
improving accuracy and robustness across different data collections. This meta-learning …
Acoustic-signal-based damage detection of wind turbine blades—A review
S Ding, C Yang, S Zhang - Sensors, 2023 - mdpi.com
Monitoring and maintaining the health of wind turbine blades has long been one of the
challenges facing the global wind energy industry. Detecting damage to a wind turbine …
challenges facing the global wind energy industry. Detecting damage to a wind turbine …
Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model
Abstract Machine condition monitoring is considered as an important diagnostic and
maintenance strategy to ensure product quality and reduce manufacturing cost. However …
maintenance strategy to ensure product quality and reduce manufacturing cost. However …
[HTML][HTML] Influence of moisture uptake on the static, cyclic and dynamic behaviour of unidirectional flax fibre-reinforced epoxy laminates
This papers aims to characterize the influence of moisture uptake on the mechanical
behaviour of unidirectional flax fibre-reinforced epoxy laminates. Monotonic and cyclic …
behaviour of unidirectional flax fibre-reinforced epoxy laminates. Monotonic and cyclic …
Experimental study of the process failure diagnosis in additive manufacturing based on acoustic emission
Currently additive manufacturing (AM) faces many challenges related to product quality,
robustness, and reliability, which will hinder its industry-scale applications. Studies of the …
robustness, and reliability, which will hinder its industry-scale applications. Studies of the …
A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites
Structural elements made of Organic Matrix Composites (OMC) under complex loading may
suffer from high Acoustic Emission (AE) activity caused by the emergence of different …
suffer from high Acoustic Emission (AE) activity caused by the emergence of different …
Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties—A review
In the era of the 4th industrial revolution of big data, artificial intelligence (AI) is widely used
in each and every field of composite materials which includes design and analysis, material …
in each and every field of composite materials which includes design and analysis, material …
[HTML][HTML] Challenges and limitations in the identification of acoustic emission signature of damage mechanisms in composites materials
N Godin, P Reynaud, G Fantozzi - Applied sciences, 2018 - mdpi.com
Acoustic emission is a part of structural health monitoring (SHM) and prognostic health
management (PHM). This approach is mainly based on the activity rate and acoustic …
management (PHM). This approach is mainly based on the activity rate and acoustic …
Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy
Association of pre-treatment radiomic features with lung cancer recurrence following
stereotactic body radiation therapy - IOPscience Skip to content IOP Science home Accessibility …
stereotactic body radiation therapy - IOPscience Skip to content IOP Science home Accessibility …