K. G. Srinivasa
Author detail
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Featured books
Representative editions for works actually authored by this person.
- Image source: Open LibrarySM
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
cover - Image source: Open LibraryND
Network Data Analytics
cover - Image source: Open LibraryGT
Guide to High Performance Distributed Computing
cover - Image source: Open LibrarySC
Soft computing for data mining applications
cover - S5Society 5. 0K. G. Srinivasa
Society 5. 0
no cover - CMCloud-Based Multi-Modal Informa...K. G. Srinivasa
Cloud Based Multi-Modal Information Analytics
no cover - AIArtificial Intelligence for Inf...K. G. Srinivasa
Artificial Intelligence for Information Management
no cover - LTLearning, Teaching, and Assessm...K. G. Srinivasa
Learning, Teaching, and Assessment Methods for Contemporary Learners
no cover - RORise of Fog Computing in the Di...K. G. Srinivasa
Rise of Fog Computing in the Digital Era
no cover - FAFree and Open Source Software i...K. G. Srinivasa
Free and Open Source Software in Modern Data Science and Business Intelligence
no cover - EREmerging Research Surrounding P...K. G. Srinivasa
Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing
no cover
Works in catalog
Quick navigation into the work-level grouping pages behind the featured books.
- Open Work
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
- Open Work
Network Data Analytics
- Open Work
Guide to High Performance Distributed Computing
- Open Work
Soft computing for data mining applications
- Open Work
Society 5. 0
- Open Work
Cloud Based Multi-Modal Information Analytics
- Open Work
Artificial Intelligence for Information Management
- Open Work
Learning, Teaching, and Assessment Methods for Contemporary Learners
- Open Work
Rise of Fog Computing in the Digital Era
- Open Work
Free and Open Source Software in Modern Data Science and Business Intelligence
- Open Work
Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing
