TABLE IV. Summary of Machine Learning and Deep Learning Techniques.

Category	Examples
Machine learning	Supervised learning: SVM [18], [20], [21], SRC [19], [20]
	Unsupervised learning: HMM [22], K-means [23], [25], K-medoids [23], [25]
Deep learning	CNN [7], [13], [15], [16], [27], VGG-16 [6], [17], LeNet [10], [26], AlexNet [20], [26], [28], ZFNet [26], ResNet-18 [13], LSTM [6], Transformer [38]
Other techniques	transfer learning [20], [28], [29] fusion techniques [5], [7], [13], [38], data augmentation [14], [15], [17]