Index
Abstract
advanced encryption standard), 213-215, 220 Age, 104, 115 AI disclosure statement, 68 AI ecosystem, 5, 11 AI governance for sustainability, 224 AI in medical diagnosis, 184-185, 200 AI in power system security, 309-310 AI lifecycle, 3, 11 AI models, 44, 47, 52, 99 AI regulation, 5 AI risk management framework (RMF), 5, 13, 14, 15 AI systems, 4, 5, 6, 7, 8, 9, 10 AI TRiSM (Trust, Risk, and Security Management), 257-269 AI-based PI controller, 316-318 AI-driven cyber security, 205, 223-225 Android, 332, 335, 344, 345 Anomalous transactions, 105 Anomaly detection, 216 Area control error (ACE), 315, 326 Artificial intelligence (AI), 127-151, 183-184, 200, 279 Artificial intelligence optimization, 317-319 As public health concern, 229, 230 Attention mechanisms, 232, 233, 239, 245 Attention-guided U-Net segmentation, 259 attention gates, 259 binary cross-entropy loss, 259, 269 Dice coefficient, 259, 269 AUC-ROC (Area Under the ROC Curve), 240, 241, 242, 243, 244 Autoencoders, 229, 230, 235, 236 Autonomous systems, 101, 110 Autonomous vehicles, 110 California Consumer Privacy Act (CCPA), 128 Capsule Network (Dense CapsNet), 194-196, 198-199 Case study, 99, 104 CASIA Iris datasets, 256 CASIA-Iris-Interval, 256 CASIA-Iris-Lamp, 256 CASIA-Iris-Twin, 256 Causal models, 23 CBIS-DDSM, 237, 241 CBIS-DDSM dataset, 237, 241 Central server, 157, 160, 163-165, 168 Challenges, 64-65, 231-232, 234-235 Checkpoint system, 87 Cholesterol level, 104 Chronic disease management, 154, 161 Chronic diseases, 154, 161 Classification models, 194-197, 199 Clinical decision support systems (CDSS), 229, 240 Clinical diagnosis, 167, 168 Cloud computing, 207-208, 218-222 Cohen's correlation strength, 51 COMPAS, 115 Computational constraints, 231, 232, 235 Confidence levels, 112 Continuous monitoring, 5, 13 Contract violation, 323-324 Control systems, 110 Controller, 337, 338, 340, 341, 342, 343, 346 Controlling system, 337 Convolutional neural networks (CNNs), 73, 75, 186-187, 195, 229, 230, 234, 235, 236, 237, 245 Correlation analysis, 31, 43-44, 48, 52-54, 60-61, 64, 66 Correlation coefficients, 49-51 Correlation interpretation, 51 Correlation matching, 58 Correlation thresholding, 60 Correlation with target variable, 52, 60 Crime detection, 58 Crop yield optimization, 73 Cross-sector collaboration, 135 Cryptographic techniques, 135 Cybersecurity, 282 Data augmentation, 231, 232, 239 Data compression algorithms, 217-218 Data fragmentation, 155, 164 Data heterogeneity, 154, 155, 158, 162, 164 Data labeling, 231, 232, 233 Data preprocessing techniques, [190][191][223][224] 5, 10 Data types, 54 Datasets, 229, 231, 232, 236 DDSM dataset, 239, 240, 241, 242 DDSM, 239, 240, 241, 242 Decentralized data, 154, 157, 164 Decision tree model, 25-28 Decision trees, 61-62, 109, 112 Decision-making, 102, 110 Deep denoising autoencoder (DDAE), 257-258 Deep learning (DL), 63, 109,[183][184][186][187] 200, 230, 235, 236 Defense bot, 331, 332, 333, 346 DEFLATE algorithm, 213,[217][218][219][220] DeiT (data-efficient image transformer), 260-261 Deregulated power system, 311-314 DFIG (doubly fed induction generator), 313-314 Diabetic retinopathy (DR), [184][185][189][190][191][192][193][194][195][196][197] 200 Diagnosis, 230, 237, 240 Diagnostic accuracy, 73, 95 Differential privacy (DP), 154, 157, 159, 165, 166 Dimensionality reduction, 44, 53, 57, 63 Dingo optimization, 239, 240, 241, 242, 243, 244, 245 10.1002/9781394393022.index, Downloaded from https://onlinelibrary.wiley.com/
Publication details
- Pages
- 371–377
- Publication date
- 9 January 2026
- Language
- EN