22 lines
1.0 KiB
TeX
22 lines
1.0 KiB
TeX
% Define an abbreviation (acronym)
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% Acronyms for the thesis
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\newacronym{ml}{ML}{machine learning}
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\newacronym{stft}{STFT}{short-time fourier transform}
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\newacronym{ai}{AI}{artificial intelligence}
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\newacronym{dl}{DL}{deep learning}
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\newacronym{nn}{NN}{neural network}
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\newacronym{fft}{FFT}{fast fourier transform}
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\newacronym{svm}{SVM}{support vector machine}
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\newacronym{cnn}{CNN}{convolutional neural network}
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\newacronym{rnn}{RNN}{recurrent neural network}
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\newacronym{vbi}{VBI}{vibration-based inspection}
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\newacronym{shm}{SHM}{structural health monitoring}
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\newacronym{fea}{FEA}{finite element analysis}
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\newacronym{1d-cnn}{1-D CNN}{\textit{One-Dimensional Convolutional Neural Network}}
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\newacronym{pca}{PCA}{\textit{principal component analysis}}
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% rbf
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\newacronym{rbf}{RBF}{\textit{radial basis function}}
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% cm
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\newacronym{cm}{CM}{\textit{confusion matrix}}
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\newacronym{tsne}{t-SNE}{\textit{t-distributed stochastic neighbor embedding}}
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\newacronym{pacmap}{PaCMAP}{\textit{Pairwise Controlled Manifold Approximation Projection}} |