Description
Book SynopsisThis book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.
Table of Contents1. Machine and Deep learning techniques for Image Classification
2. IoT based Techniques for smart Agriculture
3. Machine and Deep learning techniques for Satellite Image Analysis
4. Machine and Deep learning techniques for Automatic Speech Recognition
5. Machine and Deep learning techniques for Object Detection
6. Machine and Deep learning techniques for Object Segmentation
7. Machine and Deep learning techniques for Automatic Image Caption Generation
8. Machine and Deep learning techniques for Automatically Adding Sounds to Silent Movies
9. Machine and Deep learning techniques for News Aggregation and Fraud News Detection
10. Machine and Deep learning techniques for Natural Language Processing
11. Machine and Deep learning techniques for Smart Sign Language Recognition System for Dumb and Deaf People
12. Machine and Deep learning techniques for Smart Text Reader System for Blind Person
13. Machine and Deep learning techniques for Automatic Language Translation System
14. Machine and Deep learning techniques for Automatic Handwriting Generation System
15. Machine and Deep learning techniques for Biomedical Image Processing Applications
16. Machine and Deep learning techniques for Healthcare Monitoring System
17. Machine and Deep learning techniques for Impact of IoT in Biomedical Applications
18. Emerging Pedagogies of Machine Learning and Deep Learning in Smart Agriculture
19. Machine and Deep learning techniques in Finance
20. Machine and Deep Learning Techniques in System Biology
21. IoT Based Road Safety Applications
