Index
- 1%CuO-doped SnO2 sensor for methanol, 309–311
- Aarogya Setu, 187
- Activation function, 302, 304–305
- Adaptive learning rate algorithm, 311, 319
- Adder junction, 302
- Advanced message queuing protocol (AMQP), 129
- Advantages of federated learning, 119
- Affine transformation, 303
- AI-enabled cyber physical system in healthcare, 277–297
- Air quality index, 196
- Algorithm, 41
- Application of the model, 410–413
- Arduino microcontroller, 217–219
- Artificial intelligence (AI), 139, 157, 176
- Artificial neural networks (ANNs), 261, 351
- Authenticity, 139
- Axon, 301
- Case study, 54
- Cell body, 301
- Channel-aware routing protocol (CARP), 127
- Chaotic spider algorithm (CSA), 27
- Chaotic squirrel search, 46
- Chlorine, 181
- Classification models application, 401
- Classification models comparison conclusion, 418
- Client, 46
- Cloud, 90
- Cloud computing, 14, 41, 134, 157, 160, 162, 165, 169
- Cloud information system, 46
- Cloud-based, 70–75, 77–79, 81–85
- Cloudlet, 43
- CloudSim, 46
- Cluster, 241
- Clustering, 52
- Communication, 157, 161–163, 170
- Comparison of different models, 402–403
- Comparison of different models and result, 413–417
- Compliance, 101
- Computational resources, 15
- Computing resource, 44
- Conductance algorithm, 50
- Confidentiality, 139
- Conflicting parameter, 44
- Constrained application protocol (CoAP), 10
- Constricted particle swarm optimization (CPSO), 338
- Contextual information, 234
- Convolution neural network (CNN), 348
- Coronaviridae, 178, 181
- Coronavirus, 75, 178, 182–183, 191
- Covid-19, 70–71, 73–83, 85
- Cronbach’s alpha, 78–80, 83, 85
- Cuckoo search (CS), 27
- Cybersecurity, 100
- Cyient, 187
- Data analysis, 71, 75–78
- Data collection, 312
- Data generator, 124
- DC to DC buck converter, 215–217
- Decision tree (DT), 353
- Deep enforcement learning, 45
- Deep learning, 140, 146
- Dendrites, 301
- Denial of Service (DoS) attacks, 99
- Deployment models,
- Descriptive analysis, 399
- Diagnosis, 71, 73–76, 80–85
- Dictionary-based approaches, 236
- Digital multi-meter (DMM), 309
- Document identification, 391
- Drone technology, 70
- Dynamic scheduling, 49
- Facial recognition through camera, 390
- Farm management information system (FMISs), 260
- Federated learning in blockchain, 118
- Federated learning in cloud computing, 108–112
- Federated learning in edge computing, 112–114
- Federated learning in IoT (Internet of Things), 114–115
- Federated learning in medical computing field, 116–117
- Feed forward ANNs, 305–307
- Feed propagation, 311
- Feed forward synaptic connection, 308
- Film gas sensor, 315–317, 319, 323, 324
- First come first serve, 50
- Fog computing, 134
- Fuzzy, 45
- iFever, 185
- Impact of irradiance on PV efficiency, PV output with varying irradiance, 211
- Industry 4.0, 131
- Information and communication technology (ICT), 258
- Integration of AI with the IoT devices, 4–5
- Integration of big data with the IoT, 6
- Integration of cloud computing with the IoT, 6–8
- Intelligent transportation systems, 132
- Internet of medical things, 186
- Internet of Things (IoT), 71–72, 85, 89, 122, 157–160, 164, 165, 167, 260
- Introduction to federated learning concept, 108
- Intrusion detection systems (IDs), 372
- IoT challenges, 132–133
- IoT communications models,
- IPv6 over low-power wireless personal area network (6LoWPAN), 128
- IPv6 over time-slotted channel hopping (6TiSCH), 128
- Irrigation monitoring, 97
- iSense, 185
- IT infrastructure, 14
- KCN 901, 186
- Latency, 138, 157, 159, 160, 162
- LEARNGDM, 314
- Learning processes, 308–309
- Linear method (LM), 363
- Levenberg-Marquardt feed forward propagation algorithm, 319–320, 323, 324
- Linear combination junction, 302
- Linear method (LM), 363
- Lockdown, 71
- Logsin network transfer function, 311, 313–314, 316, 321
- Long short-term memory (LSTM), 372
- LoRaWAN, 126
- Machine learning (ML), 144, 157, 175, 176, 194
- Machine learning applications in IoT, 251
- Makespan, 36, 45
- Man in the middle (MITM), 99
- Market-oriented architecture, 17
- Materials and method, 403–410
- Matlab tool, 311, 312, 318
- Max-min, 50
- Message queue telemetry transport (MQTT), 129
- Metaheuristic, 45
- Methodology, 75, 78
- Micromulticopter, 187
- Migration, 24
- Min-min, 50
- Mobile cloud computing (MCL), 261
- Mobile phones price prediction, 401
- Modified K-nearest neighbor (MK-NN), 337
- Multi objective, 45
- Multilayer perceptron (MLP), 306, 337
- Multi-tenant, 42
- Quality of services, 45
- Random forest (RF), 363
- Real time alerts, 148
- Real time analytics, 140
- Recent information (RI), 263
- Rectified linear unit (ReLU), 336
- Recurrent ANNs topologies, 307
- Recurrent neural network (RNN), 372
- Resource management, 42
- Resource selection, 53
- Resources provisioning, 42
- RFID, 99
- RNN and Word2Vec, 247–249
- Roll of AI, big data and cloud computing in IoT, 3–4
- Round Robin, 50
- Routing protocol for low-power and lossy networks (RPL), 127
- Routing protocols attacks, 98
- RT_PCR, 179
- Schedule length, 44
- Schedule length ratio, 45
- Scheduling, 44
- Security of Internet of Things, 8–10
- Self-organizing map (SOM), 337
- Sensitivity, 309–312
- Server, 125
- Server consolidation, 27
- Service models,
- Sigmoid function, 304
- Simulated annealing, 44
- Simulation, 45
- Slangs, 244
- Smart farming, 131
- Smart healthcare, 131
- Smart home, 131
- Spell checker, 236
- Squashing function, 302
- Statistical normalization tool, 304
- Supervised and unsupervised machine leaning, 235
- Swayam, 193
- Synapses, 301
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