- Accuracy, 113, 115–117, 124–125, 130, 137, 139–141, 143
- Adherent, 79
- ADIS model, 31
- AHH-VBF, 251, 254, 257
- Akaike information criterion (AIC), 30
- AlexNet, 267–268
- Amazon, 114, 128, 142
- ANACONDA, 61
- Anomaly detection, 8
- Anonymity, 54–55, 57
- AODV, 251, 253, 257
- Applied Sciences (journal), 267
- Architecture of IoUT, 232
- Area under the curve (AUC), 117, 119
- ARIMA, 30
- ARM, 152
- ARP, 251, 254, 257
- Artificial intelligence (AI), 67, 68, 97
- Artificial neural networks, 6
- Autonomous underwater vehicles (AUVs), 230, 233, 237, 240, 247
- Bayesian information criterion (BIC), 30
- Binary classification, 181
- Business model, 13, 14
- Chest x-ray for pneumonia detection,
- background, 267–268
- introduction, 266–267
- research methodology, 268–271
- results and discussion, 271–272
- Churn, 122, 124
- Classification, 5
- Cloud, 70, 72, 73
- Cloud computing, 15
- Clustering, 124, 131, 135, 172, 174, 177
- CNN, 98–103, 109, 153, 154
- Collaborative data publishing model with privacy preservation,
- introduction, 54–56
- literature survey, 56–58
- proposed model, 58–61
- results, 61, 64
- Collaborative filtering (CF), 114
- Computers & Electrical Engineering (journal), 267
- Confusion matrix, 198–201, 267, 272
- Content-based filtering (CBF), 114
- Convolutional neural network (CNN), 191, 267
- Correlation, 79
- Cosine similarity, 203
- Coverage, 122, 123, 138–141
- Crowding, 82
- Data mining, 54, 57, 58
- Data noise, 11
- Data perturbation–based techniques, 58
- Data pre-processing, 129
- Data publisher, 54
- Dataset augmentation, 267
- Decision making, 3
- Decision support metrics, 116, 118
- Decision tree, 132, 134–135
- Deep learning, 267, 268
- Demographic, 114, 126, 128, 136
- Dictionary attack, 88
- Digital automation, 17
- Digital communication, 2
- Digital India, 16
- Digital representations, 68
- Dijkstra algorithm, 174
- Dimensionality reduction, 129–130
- Distorted, 88
- Diversity, 122–124, 138–141
- DRP, 255–257
- DSDV, 251, 252, 257
- DSR, 251, 253, 257
- Edge computing, 15
- EMGGR, 251, 254, 257
- European Journal of Radiology, 268
- False news, 182, 185–186, 188, 191–192
- Fault tolerant, 69
- Feature extraction, 185, 196–197
- Flipkart, 114, 128, 142
- F-score, 272
- Fuzzy clustering for categorical multivariate data (FCCM), 58
- Genetic algorithm (GA) approach, 31, 47–49
- Genetic algorithm–based rice distribution planning, 41–43
- Genetic programming (GP), 29, 32
- Geopolitical, 1
- GFGD, 251, 254, 257
- Global positioning system (GPS), 232
- Google distance matrix API, 177
- Government, 1, 2, 4, 5, 8, 10, 16, 22, 23
- GPIO, 147, 150–152
- GPS, 4
- Graphical operations, 76
- Haar wavelet transform, 268
- Health analysis, 69
- Heterogeneity of data, 12
- Heuristic-based optimization approaches, 40
- HH-VBF, 251, 253, 257
- Hit ratio (HR), 117
- HSV, 99
- Hub count identification, 171–172
- Image processing, 67
- Incubators, 3
- Indian irrigation development project, 31
- Industrial internet, 70
- Industry 4.0, 67–69
- Infiltrates, 266
- Information providers (IPs), 56
- Information retrieval, 196
- Infrastructure, 6–8, 10, 13, 15, 19–21
- Integer linear programming (ILP), 29, 31, 40
- Integrated command and control center, 10
- International Journal of Medical
- Informatics, 268
- Internet of Things (IoT), 1, 2, 14, 15, 17-19, 147–149, 152, 229, 230, 232, 235, 247, 249, 251, 259–260
- Internet of Underwater Things (IoUT), 229–242, 247–253, 255, 257, 259–260
- IoT sensors, 266
- “IsRice” platform, 32, 34–40
- Journal of Healthcare Engineering, 267
- Journal of the American Medical Informatics Association, 268
- Key hub identification phase, 172–174
- Key market hubs, 173
- K-fold cross-validation, 115, 130
- K-nearest neighbor, 133, 135, 137
- Lab experiments, 125–126
- Linear programming method, 31
- LISYS method, 268
- Logistic regression, 132, 181–182, 197–198, 202–204
- LSTM (long short-term memory) cells, 28–29, 32, 34, 36–40
- Machine learning (ML), 1, 15, 16, 231, 240–242, 255, 257–260
- Machine learning algorithms, 2, 266, 268
- Mask R-CNN, 267
- Mean absolute error (MAE), 116–117
- Mean average precision (MAP), 117, 120
- Mean reciprocal rate (MRR), 117
- Mean squared error (MSE), 45, 116, 117
- Mission, 5, 8, 10, 11, 15, 16, 22
- ML with IoT, 17
- MovieLens dataset, 116, 135, 137
- MSE (Mean Absolute Error), 38, 46
- Naïve Bayes, 132, 135, 182, 198–199
- National health information network (NHIN), 55
- Natural language processing (NLP), 182, 204
- Natural language tool kit (NLTK), 182, 196
- Netflix, 114, 135, 141–142
- Network intrusion detection, 268
- Node java scripting, 69
- Normalization, 121
- Normalized discounted cumulative gain (nDCG), 117, 120
- Novelty, 123–124, 138–143
- NP-complete problem, 29, 40
- OLSR, 251–253
- Online A/B test, 126
- Optimization techniques, 58
- Paddy harvest prediction function, 37–39
- Parabolic, 89
- Pattern matching, 92
- Personalization, 122, 123, 128
- Pi–based, 67, 70
- Planning and scheduling, 31
- PLoS Medicine (journal), 267
- Pneumo-CAD system, 268
- Polls, 125–126
- Popularity, 114, 122–123, 127, 138
- PPDM, 56, 58
- Precision, 113, 117–120
- Prediction, 113–117, 122–123, 125, 132
- Pre-processing, 94
- Principal components analysis, 268
- Privacy preservation, 57, 58, 61
- Privacy preserving data publishing (PPDP), 54, 56–57
- Probabilistic neural network, 268
- Production monitoring, 67, 69, 70
- QID, 55
- Quality of service (QoS), 250, 258
- Radiology (journal), 268
- Random forest, 186, 200, 202
- Random number, 83
- Rank aware top-N metrics, 116–117, 120
- Ranking, 113–114, 117, 143
- Recall, 113, 117–119
- Receiver operating characteristic (ROC), 117, 119
- Recognition, 83
- Recommender system, 113–115, 127, 129, 143
- Recurrent neural network (RNN), 28–29, 32, 35–36
- Relevant, 113, 118–120, 142
- Remote monitoring, 69
- Responsiveness, 122, 124
- RetinaNet, 267
- Root mean squared error (RMSE), 39, 116, 118
- Rotation, 83
- Route optimization for perishable goods transportation system,
- introduction, 167–168
- proposed method of routing, 171–174
- proposed work implementation, 174–175, 177
- related works, 168–170
- Sampling, 129
- SBC, 103, 147, 152, 154, 155, 161
- SCADA, 4, 23
- Scaling, 84
- Secret key, 70
- Secure data, 69
- Security frameworks, 69
- Segmentation, 85
- Sequential minimal optimization (SMO), 30
- Serendipity, 122–124
- Sewage treatment plant, 7
- Silhouette analysis, 172, 174
- Single-board computers, 67
- Smart agri/farm approach for paddy related processes,
- background, 29–31
- introduction, 28–29
- methodology, 31–32, 34–44
- results and discussion, 45–49
- Smart city, 1–7, 9–11, 13, 16, 18–22
- Smart city mission (SCM), 16
- Smart factories, 69
- Social media, 182–183, 190–193, 205
- Soft-max activation function, 271
- Spam messages, 193
- Spearman rank correlation coefficient (SRCC), 117, 121
- Supervised learning, 4
- Support vector machine (SVM), 16
- Taboo search–based algorithm, 31
- Technologies, 2, 4, 6, 12, 17, 18, 20, 22, 23
- Term frequency–inverse document frequency (TF-IDF), 184–186, 188, 196, 203
- Terrestrial wireless sensor network (TWSN), 250
- Text,
- Tokenization, 196
- Transformation, 89
- Translation, 92
- TSR-HA, 97
- Tweets, 182, 184, 188, 193
- Twitter, 182–185, 187, 193, 195–196, 207
- Underwater wireless sensor networks (UWSNs), 29, 229, 230, 234–235, 237–240, 247–248, 251, 258
- Unsupervised learning, 7
- Usage log, 125
- VBF, 251, 253, 257
- Vehicle route identification process, 167–177
- Vehicles routing problem, 31
- Velocity, 19
- VGG-16, 267
- WDFAD-DBR, 255, 257 “WEKA” framework, 30
- Wireless networks, 18
- WSNs, 149
- Xception architecture, 268, 271
- XGBoost, 200–203
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