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1 Chapter 2Table 2.1 Training setup for AlexNet.Table 2.2 Performance evaluation of classification accuracy.Table 2.3 Comparative analysis of existing methods and the proposed method.Table 2.4 Comparative analysis of the existing methods and the proposed meth...

2 Chapter 3Table 3.1 Example behavior of an RV monitor for property .

3 Chapter 4Table 4.1 The performance (test‐accuracy) of the proposed capsule and basic ...

4 Chapter 5Table 5.1 Methods for cell clustering and visualization.Table 5.2 Methods for the bifurcation/branch identification ordering of cell...Table 5.3 Gene‐level analysis tools (identifying differentially expressed ge...Table 5.4 Unsupervised data integration methods.Table 5.5 Supervised data integration tools.Table 5.6 Semi‐supervised data integration tools.Table 5.7 List of AI‐based computational tools for drug discovery.

5 Chapter 6Table 6.1 Distribution of breast cancer patients based on race or ethnicity.Table 6.2 Training data obtained by applying SMOTE and ENN.Table 6.3 Default parameter values for corresponding base learners.Table 6.4 Discovered rules using the class association rule method (conseque...Table 6.5 Extracted rules using the class association rule technique (conseq...Table 6.6 Rules generated using the class association rule technique (conseq...Table 6.7 Performance (accuracy, precision, recall/sensitivity, specificity)...Table 6.8 Performance (AUC, F1, and G‐mean) of the SL and three ML algorithm...

6 Chapter 7Table 7.1 Classification accuracy (%) obtained by the proposed method and it...Table 7.2 Performance analysis of different local descriptors and proposed m...Table 7.3 Performance analysis of the proposed method and several deep archi...

7 Chapter 8Table 8.1 Accuracy of artificial neural network models for differing optimiz...Table 8.2 Performance analysis of neural network optimizers using early stop...Table 8.3 Comparison of the proposed method with state‐of‐the‐art methods.

8 Chapter 9Table 9.1 Histogram‐based image features.Table 9.2 GLCM‐based image features.Table 9.3 GLRLM‐based image features.Table 9.4 Correlation of the selected features with the class label.Table 9.5 Test phase predictions for the selected volumes from the IBSR‐18 a...