Futuristic Trends in Information Technology Volume 2 Book 20
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TypePrint
- CategoryAcademic
- Sub CategoryEdited Book
- StreamComputer Science, Information Technology
This book series will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The book series looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the book series by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to 1. Databases and Data Warehouses 2. Cloud Databases 3. Distributed Databases 4. Information and Knowledge Engineering 5. Information Retrieval Systems 6. Data Mining Techniques 7. Data Security 8. Privacy and Cryptology 9. Web-Based Design and Development 10. Decision Support Systems 11. Expert Systems and Business Intelligence 12. Big Data and Big Data Analytics 13. Autonomic Computing and Communication 14. Multi-Agent Systems 15. Agile Software Systems 16. Self-Organizing Computing Systems 17. Swarms and Swarm Intelligence 18. Pervasive and Mobile Computing 19. Sensor NetworksP2P and Cloud Computing 20. Web and Participatory Systems 21. Adaptive Algorithms 22. Operating Systems 23. Middleware for Autonomous and Adaptive Systems 24. Social Sensing and Social Analysis 25. Parallel Computing 26. Speech and Audio Technology and Applications 27. Speech Analysis 28. Synthesis, Coding, Recognition, 29. Language Modeling and Recognition 30. Human Speech Production and Perception 31. Speech Enhancement 32. Speech and Audio Separation 33. Computational Auditory Scene Analysis 34. Music Signal Analysis 35. Synthesis and Information Retrieval 36. Machine Learning & Deep Learning Appl
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