Table 2. Parameter detail of the implemented models.

Parameters	OMM-2022 dataset	Self-created dataset
Batch size	32	32
Epochs	20,30,50,100,150	20,30,50,100,150
Learning rate	0.001	0.001
Loss function	Categorical cross entropy	Categorical cross entropy
Optimization algorithm	Adam	Adam
Normalization	Standard	Standard
Randomization	42	42
Number of classes	50,51,52	46,47,48
Cross-validation	K-Fold	K-Fold
Number of splits	5	5