25 lines
1.1 KiB
TeX
25 lines
1.1 KiB
TeX
% Define an abbreviation (acronym)
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% Acronyms for the thesis
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\newacronym{ml}{ML}{\textit{machine learning}}
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\newacronym{stft}{STFT}{\textit{short-time fourier transform}}
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\newacronym{ai}{AI}{\textit{artificial intelligence}}
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\newacronym{dl}{DL}{\textit{deep learning}}
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\newacronym{nn}{NN}{\textit{neural network}}
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\newacronym{fft}{FFT}{\textit{fast fourier transform}}
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\newacronym{svm}{SVM}{\textit{support vector machine}}
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\newacronym{cnn}{CNN}{\textit{convolutional neural network}}
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\newacronym{rnn}{RNN}{\textit{recurrent neural network}}
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\newacronym{vbi}{VBI}{\textit{vibration-based inspection}}
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\newacronym{shm}{SHM}{\textit{structural health monitoring}}
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\newacronym{fea}{FEA}{\textit{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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\newacronym{cm}{CM}{\textit{confusion matrix}}
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% pso
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\newacronym{pso}{PSO}{\textit{particle swarm optimization}}
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% ga
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\newacronym{ga}{GA}{\textit{genetic algorithm}}
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% AR
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\newacronym{ar}{AR}{\textit{autoregressive}}
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% frft
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\newacronym{frft}{FRFT}{\textit{fractional fourier transform}} |