1  Pipeline Design Dimensions,MO-GAAL,AutoEncoder,SO-GAAL,VAE,AnoGAN,Deep SVDD,ALAD
 2  Data Augmentation,"SMOTE, GAN-based Oversampling",N/A,"Oversampling, GAN-based Augmentation",N/A,N/A,N/A,N/A
 3  Data Preprocessing,"Normalization, Standardization","StandardScaler, Normalization","MinMax Scaling, Standardization","StandardScaler, MinMax Scaling","StandardScaler, MinMax Scaling","StandardScaler, MinMax Scaling","StandardScaler, MinMax Scaling"
 4  Network Architecture,"Discriminator, Generator (GAN), MLP, AutoEncoder","AutoEncoder, MLP","Discriminator, Generator (GAN)","VAE, beta-VAE, AutoEncoder","Discriminator, Generator (GAN)","AutoEncoder, One-Class Classifier","Discriminator, Generator (GAN)"
 5  Hidden Layers,"[[32, 16], [64, 32, 16], [128, 64, 32, 16]]","[[32, 16], [64, 32, 16], [128, 64, 32, 16]]","[[64, 32], [128, 64, 32], [256, 128, 64, 32]]","[[64, 32], [128, 64, 32], [256, 128, 64]]","[[64, 32], [128, 64, 32], [256, 128, 64, 32]]","[[64, 32], [128, 64, 32], [256, 128, 64, 32]]","[[64, 32], [128, 64, 32], [256, 128, 64]]"
 6  Activation,"ReLU, LeakyReLU, Tanh","ReLU, Tanh, LeakyReLU","ReLU, LeakyReLU, Tanh","ReLU, Tanh, LeakyReLU","ReLU, LeakyReLU, Tanh","ReLU, Tanh, LeakyReLU","ReLU, LeakyReLU, Tanh"
 7  Dropout,"0.0, 0.25, 0.5","0.0, 0.2, 0.5","0.0, 0.25, 0.5","0.0, 0.3, 0.5","0.0, 0.25, 0.5","0.0, 0.2, 0.5","0.0, 0.25, 0.5"
 8  Initialization,"Xavier, He, Random Normal","Xavier, He, Random Normal","Xavier, He, Random Normal","Xavier, He, Random Normal","Xavier, He, Random Normal","Xavier, He, Random Normal","Xavier, He, Random Normal"
 9  Loss Function,"BCE, WGAN Loss, Hinge Loss","Mean Squared Error, Binary Crossentropy","BCE, WGAN Loss","Reconstruction Loss, KL Divergence","Binary Crossentropy, Anomaly Score Loss","SVDD Loss, Reconstruction Loss (AE)","Binary Crossentropy, Adversarial Loss"
10  Optimizer,"SGD, Adam, RMSprop","SGD, Adam, RMSprop","Adam, RMSprop, SGD","Adam, RMSprop, SGD","Adam, RMSprop, SGD","Adam, RMSprop, SGD","Adam, RMSprop, SGD"
11  Epochs,"50, 100, 200","50, 100, 200","50, 100, 150","50, 100, 200","50, 100, 150","50, 100, 200","50, 100, 150"
12  Batch Size,"32, 64, 128","32, 64, 128","32, 64, 128","32, 64, 128","32, 64, 128","32, 64, 128","32, 64, 128"
13  Learning Rate,"1e-3, 1e-4, 1e-5","1e-3, 1e-4, 1e-5","1e-3, 1e-4, 1e-5","1e-3, 1e-4, 1e-5","1e-3, 1e-4, 1e-5","1e-3, 1e-4, 1e-5","1e-3, 1e-4, 1e-5"
14  Weight Decay,"1e-2, 1e-4","1e-2, 1e-4","1e-2, 1e-4","1e-2, 1e-4","1e-2, 1e-4","1e-2, 1e-4","1e-2, 1e-4"