Cognitive IoT
portes grátis
Cognitive IoT
Emerging Technology towards Human Wellbeing
Verma, Gurudatta; Patra, J P
Taylor & Francis Ltd
10/2024
116
Mole
9781032315706
15 a 20 dias
Descrição não disponível.
CHAPTER-1 COGNITIVE IOT AND ITS IMPACT ON HUMAN LIFE
Abstract
1.1 Introduction to Cognitive IoT
1.2 Internet of Things
1.3 AI and IoT
1.4 Cognitive IoT and Covid19 Pandemic
1.5 Global Applications of Cognitive IoT
1.6 Conclusion
References
CHAPTER-2 COGNITIVE IOT: SMART STUDENT EVALUATION
Abstract
2.1 Education and IoT
2.2 Machine learning classifiers for Smart Education
2.3 Implementation using Matlab Tool
2.4 Summary
References
CHAPTER-3 COGNITIVE IOT: CHRONIC DISEASE PREDICTION
Abstract
3.1 Chronic Disease and Human Health
3.2. Disease prediction and Machine Learning
3.3 Heart Disease Prediction using MatLab Tool
3.4 Summary
References
CHAPTER-4 CHALLENGES IN IOT: ENERGY EFFICIENT WEARABLES
Abstract
4.1. Wearable IoT
4.2 Issues and Challenges in WBAN
4.3 Localization in WBAN
4.4. WBAN and Earlier Study
4.5. Applications
4.6. Limitations and Future Scope
References
CHAPTER-5 COGNITIVE IOT: RAINFALL PREDICTION FOR EFFECTIVE FARMING
Abstract
5.1 Farming and Cognitive IoT
5.2 Machine Learning Model for Rainfall Prediction
5.3 Practical Approach (Matlab Tool Box)
5.4 Summary
References
CHAPTER-6 COGNITIVE IOT: LAKE LEVEL PREDICTION TO PREVENT DROUGHT
Abstract
6.1 Data forecasting and Boundaries
6.2 Ensemble Prediction Model
6.3 Validation of Prediction Model
6.4 Summary
References
Abstract
1.1 Introduction to Cognitive IoT
1.2 Internet of Things
1.3 AI and IoT
1.4 Cognitive IoT and Covid19 Pandemic
1.5 Global Applications of Cognitive IoT
1.6 Conclusion
References
CHAPTER-2 COGNITIVE IOT: SMART STUDENT EVALUATION
Abstract
2.1 Education and IoT
2.2 Machine learning classifiers for Smart Education
2.3 Implementation using Matlab Tool
2.4 Summary
References
CHAPTER-3 COGNITIVE IOT: CHRONIC DISEASE PREDICTION
Abstract
3.1 Chronic Disease and Human Health
3.2. Disease prediction and Machine Learning
3.3 Heart Disease Prediction using MatLab Tool
3.4 Summary
References
CHAPTER-4 CHALLENGES IN IOT: ENERGY EFFICIENT WEARABLES
Abstract
4.1. Wearable IoT
4.2 Issues and Challenges in WBAN
4.3 Localization in WBAN
4.4. WBAN and Earlier Study
4.5. Applications
4.6. Limitations and Future Scope
References
CHAPTER-5 COGNITIVE IOT: RAINFALL PREDICTION FOR EFFECTIVE FARMING
Abstract
5.1 Farming and Cognitive IoT
5.2 Machine Learning Model for Rainfall Prediction
5.3 Practical Approach (Matlab Tool Box)
5.4 Summary
References
CHAPTER-6 COGNITIVE IOT: LAKE LEVEL PREDICTION TO PREVENT DROUGHT
Abstract
6.1 Data forecasting and Boundaries
6.2 Ensemble Prediction Model
6.3 Validation of Prediction Model
6.4 Summary
References
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Networking;Big Data;Machine Learning;Student Evaluation;Wearables;Rainfall Prediction;Artificial Intelligence;IoT Device;IoT System;SVM;WBAN;Sensor Nodes;Decision Tree Classifier;Optimal Predictive Model;Wireless LAN;NB Classifier;Multiple Linear Regression;Machine Learning Classifier;Ensemble Method;Ml Classifier;NB;Base Learning Algorithm;SVM Classifier;Ensemble Machine Learning;Hinge Loss Function;WSNs;WBAN Application;GHz Ism Band;Power Consumption;Matlab Code;Predicted Class Labels
CHAPTER-1 COGNITIVE IOT AND ITS IMPACT ON HUMAN LIFE
Abstract
1.1 Introduction to Cognitive IoT
1.2 Internet of Things
1.3 AI and IoT
1.4 Cognitive IoT and Covid19 Pandemic
1.5 Global Applications of Cognitive IoT
1.6 Conclusion
References
CHAPTER-2 COGNITIVE IOT: SMART STUDENT EVALUATION
Abstract
2.1 Education and IoT
2.2 Machine learning classifiers for Smart Education
2.3 Implementation using Matlab Tool
2.4 Summary
References
CHAPTER-3 COGNITIVE IOT: CHRONIC DISEASE PREDICTION
Abstract
3.1 Chronic Disease and Human Health
3.2. Disease prediction and Machine Learning
3.3 Heart Disease Prediction using MatLab Tool
3.4 Summary
References
CHAPTER-4 CHALLENGES IN IOT: ENERGY EFFICIENT WEARABLES
Abstract
4.1. Wearable IoT
4.2 Issues and Challenges in WBAN
4.3 Localization in WBAN
4.4. WBAN and Earlier Study
4.5. Applications
4.6. Limitations and Future Scope
References
CHAPTER-5 COGNITIVE IOT: RAINFALL PREDICTION FOR EFFECTIVE FARMING
Abstract
5.1 Farming and Cognitive IoT
5.2 Machine Learning Model for Rainfall Prediction
5.3 Practical Approach (Matlab Tool Box)
5.4 Summary
References
CHAPTER-6 COGNITIVE IOT: LAKE LEVEL PREDICTION TO PREVENT DROUGHT
Abstract
6.1 Data forecasting and Boundaries
6.2 Ensemble Prediction Model
6.3 Validation of Prediction Model
6.4 Summary
References
Abstract
1.1 Introduction to Cognitive IoT
1.2 Internet of Things
1.3 AI and IoT
1.4 Cognitive IoT and Covid19 Pandemic
1.5 Global Applications of Cognitive IoT
1.6 Conclusion
References
CHAPTER-2 COGNITIVE IOT: SMART STUDENT EVALUATION
Abstract
2.1 Education and IoT
2.2 Machine learning classifiers for Smart Education
2.3 Implementation using Matlab Tool
2.4 Summary
References
CHAPTER-3 COGNITIVE IOT: CHRONIC DISEASE PREDICTION
Abstract
3.1 Chronic Disease and Human Health
3.2. Disease prediction and Machine Learning
3.3 Heart Disease Prediction using MatLab Tool
3.4 Summary
References
CHAPTER-4 CHALLENGES IN IOT: ENERGY EFFICIENT WEARABLES
Abstract
4.1. Wearable IoT
4.2 Issues and Challenges in WBAN
4.3 Localization in WBAN
4.4. WBAN and Earlier Study
4.5. Applications
4.6. Limitations and Future Scope
References
CHAPTER-5 COGNITIVE IOT: RAINFALL PREDICTION FOR EFFECTIVE FARMING
Abstract
5.1 Farming and Cognitive IoT
5.2 Machine Learning Model for Rainfall Prediction
5.3 Practical Approach (Matlab Tool Box)
5.4 Summary
References
CHAPTER-6 COGNITIVE IOT: LAKE LEVEL PREDICTION TO PREVENT DROUGHT
Abstract
6.1 Data forecasting and Boundaries
6.2 Ensemble Prediction Model
6.3 Validation of Prediction Model
6.4 Summary
References
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Networking;Big Data;Machine Learning;Student Evaluation;Wearables;Rainfall Prediction;Artificial Intelligence;IoT Device;IoT System;SVM;WBAN;Sensor Nodes;Decision Tree Classifier;Optimal Predictive Model;Wireless LAN;NB Classifier;Multiple Linear Regression;Machine Learning Classifier;Ensemble Method;Ml Classifier;NB;Base Learning Algorithm;SVM Classifier;Ensemble Machine Learning;Hinge Loss Function;WSNs;WBAN Application;GHz Ism Band;Power Consumption;Matlab Code;Predicted Class Labels
