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Recognition Recognition Types of Cracked Material Under Uniaxial Tension Based on Improved Mel Frequency Cepstral Coefficients (Mfcc)

https://doi.org/10.2139/ssrn.4004827
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

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The 26 checked references that resolve
resolves10.1134/S0031918X18040130
Study of Deformation Phenomena in TRIP/TWIP Steels by Acoustic Emission and Scanning Electron Microscopy
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The characterization of deformation stage of metals using acoustic emission combined with nonlinear ultrasonics
resolves10.1016/j.measurement.2019.01.099
Investigations on acoustic emission parameters during damage progression in shear deficient and GFRP strengthened reinforced concrete components
resolves10.1016/j.measurement.2020.107653
Blind source extraction of acoustic emission signals for rail cracks based on ensemble empirical mode decomposition and constrained independent component analysis
resolves10.1016/j.measurement.2020.108668
Crack detection in carbide anvil using acoustic signal and deep learning with particle swarm optimisation
resolves10.1016/j.ijfatigue.2021.106421
On the need to determine the acoustic emission trend for reinforced concrete beam fatigue damage
resolves10.1016/j.ymssp.2019.106365
A novel feature representation method based on original waveforms for acoustic emission signals
resolves10.1016/j.measurement.2017.12.012
Hurst based vibro-acoustic feature extraction of bearing using EMD and VMD
resolves10.1016/j.ymssp.2015.03.009
Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy
resolves10.1016/j.cemconres.2019.03.001
Machine learning based crack mode classification from unlabeled acoustic emission waveform features
resolves10.1016/j.precisioneng.2021.07.019
Identification of tool wear using acoustic emission signal and machine learning methods
resolves10.1016/j.measurement.2020.108154
ANFIS system for prognosis of dynamometer high-speed ball bearing based on frequency domain acoustic emission signals
resolves10.1016/j.neucom.2021.04.108
Identification of acoustic emission sources for structural health monitoring applications based on convolutional neural networks and deep transfer learning
resolves10.1109/TASSP.1980.1163420
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
resolves10.1007/s10772-014-9257-1
Recognition of isolated words using Zernike and MFCC features for audio visual speech recognition
resolves10.1016/j.apacoust.2020.107756
Acoustic features of vocalization signal in poultry health monitoring
resolves10.1016/j.measurement.2020.108227
Multi-scale spectral feature extraction for underwater acoustic target recognition
resolves10.1016/j.ndteint.2011.09.013
An automatic impact-based delamination detection system for concrete bridge decks
resolves10.1016/j.ymssp.2018.10.006
Indirect health monitoring of bridges using Mel-frequency cepstral coefficients and principal component analysis
resolves10.1016/j.neucom.2014.12.039
Pattern recognition approach to identify loose particle material based on modified MFCC and HMMs
resolves10.1016/j.measurement.2016.07.008
Diagnostics of stator faults of the single-phase induction motor using thermal images, MoASoS and selected classifiers
resolves10.1016/j.epsr.2015.06.008
A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors
resolves10.1016/j.neucom.2011.10.047
A k-nearest-neighbor classifier with heart rate variability feature-based transformation algorithm for driving stress recognition
resolves10.1016/j.apacoust.2020.107568
Late fusion framework for Acoustic Scene Classification using LPCC, SCMC, and log-Mel band energies with Deep Neural Networks
resolves10.1109/89.784104
Generalized mel frequency cepstral coefficients for large-vocabulary speaker-independent continuous-speech recognition
resolves10.1109/5.843002
Sampling-50 years after Shannon
The 15 references without a DOI — listed, not checked
no DOI — not checkedref2
no DOI — not checkedCompression-shear failure properties and acoustic emission (AE) characteristics of rocks in variable angle shear and direct shear tests
no DOI — not checkedCharacteristic analysis of acoustic emission monitoring parameters for crack propagation in UHPC-NC composite beam under bending test
no DOI — not checkedStructural health monitoring methods of cables in cable-stayed bridge: A review
no DOI — not checkedApplication of the wavelet transform to acoustic emission signals for built-up edge monitoring in stainless steel machining
no DOI — not checkedDetection of delamination in concrete bridge decks using MFCC of acoustic impact signals
no DOI — not checkedA tristimulus-formant model for automatic recognition of call types of laying hens
no DOI — not checkedref25
no DOI — not checkedref26
no DOI — not checkedAcoustic emission characteristics of coal failure using automatic speech recognition methodology analysis
no DOI — not checkedDiscriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors
no DOI — not checkedref35
no DOI — not checkedFiber optic tactile sensor for surface roughness recognition by machine learning algorithms
no DOI — not checkedReal-time moisture ratio study of drying date fruit chips based on on-line image attributes using kNN and random forest regression methods
no DOI — not checkedUsing soft computing and leaf dimensions to determine sex in immature Pistacia vera genotypes
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