48 lines
1.8 KiB
TeX
48 lines
1.8 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}}
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% AR
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\newacronym{ar}{AR}{\textit{autoregressive}}
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% residual error
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\newacronym{re}{RE}{\textit{residual error}}
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% ae
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\newacronym{ae}{AE}{\textit{autoencoder}}
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% lr
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\newacronym{lr}{LR}{\textit{logistic regression}}
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% ann
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\newacronym{ann}{ANN}{\textit{artificial neural network}}
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% wt
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\newacronym{wt}{WT}{\textit{wavelet transform}}
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% oc-svm
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\newacronym{oc-svm}{OC-SVM}{\textit{one-class support vector machine}}
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% lstm
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\newacronym{lstm}{LSTM}{\textit{long short-term memory}}
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% ga
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\newacronym{ga}{GA}{\textit{genetic algorithm}}
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% ht
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\newacronym{ht}{HT}{\textit{Hilbert Transform}}
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% vmd
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\newacronym{vmd}{VMD}{\textit{Variational Mode Decomposition}}
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% qugs
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\newacronym{qugs}{QUGS}{\textit{Qatar University Grandstand Simulator}}
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% rcnn
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\newacronym{r-cnn}{R-CNN}{\textit{Region-based Convolutional Neural Network}} |