Integrating deep learning algorithms to overcome challenges in big data analytics - Sujatha, R.; Aarthy, S. L.; Vettriselvan, R. (CRC Press, Taylor & Francis Group, 2022)
1. Deep Learning for Analyzing the Big Data on Gaming Sector. 2. Deep Learning for Text Analysis. 3. Deep Learning for Analyzing the Data on Humanoid Robots. 4. Deep Learning for Analyzing the Data in IoT Based System. 5. Deep Learning for Analyzing the Data on Object Detection and Recognition. 6. Deep Learning for Medical Dataset Classification. 7. Performance Evaluation and Deep Learning Optimization. 8. Deep Learning for Image Data Classification. 9. World Wide Web Analysis. 10. Cyber Physical System Analysis. 11. Big Data Analysis for Financial Sector (Banking, Insurance, Stock Exchange etc.). 12. Learning Algorithm for Smart Cities using Big Data. 13. Big Data Analytics in Engineering. 14. Big Data Analytics in Healthcare. 15. Learning Algorithm for Social Media Data Analytics. 16. Big Data Analytics in Agriculture. 17. Big Data Analytics for Cloud, Mist and Fog Prediction. 18. Innovative Large-Scale Models for Deep Learning Algorithms and Architectures. 19. Innovative Platforms for Integrating Big Data and Deep Learning