Proceedings of International Conference on Big Data, Machine Learning and Their Applications: Icbma 2019

​Chapter 1. Analysis of Efficiency of Fractional order Technique in a Controller for a complex Non-Linear Control Process.- Chapter 2. NWP models combined with Ensemble Models for Hourly Estimation of Global Solar Irradiance.- Chapter 3. Literature Review on Agricultural Internet of Things.- Chapter 4. Deep Learning approach based Network Intrusion Detection System for fog assisted IoT.- Chapter 5. Improving Prediction Accuracy for Debonding Quantification in Stiffened Plate by Meta Learning Model.- Chapter 6. The Need of Advanced Assisting Devices for Blind People.- Chapter 7. A Noval Fuzzy based Artificial Bee Colony Algorithm for Medical Records Classification.- Chapter 8. A comparative study: Glaucoma detection using deep neural networks.- Chapter 9. Security Risks and Challenges in IoT Based Applications.- Chapter 10. An Assessment of Type-2 Diabetes Risk Prediction using Machine Learning- A Review.- Chapter 11. Comparative Study of Different Reduced Precision Techniques in Deep Neural Network.- Chapter 12. A study of Predictive Measures in Neural Network Architectures for Plant Disease Detection.- Chapter 13. Design and Analysis of Smart Automatic Street Light System.- Chapter 14. Combating DDoS attack on OpenStack using Hypervisor based intrusion detection system with the help of machine learning.- Chapter 15. Exploring Honeycomb Interconnection Networks.

• Format: Paperback
• Language: English
• ISBN: 9811583765
• ISBN13: 9789811583766
• Release Date: December 2020
• Publisher: Springer
• Length: 409 Pages
• Weight: 1.31 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"