Data Engineering for Smart Systems : Proceedings of SSIC 2021 / edited by Priyadarsi Nanda, Vivek Kumar Verma, Sumit Srivastava, Rohit Kumar Gupta, Arka Prokash Mazumdar
Material type:
E-bookSeries: (Lecture Notes in Networks and Systems, 2367-3389 ; 238).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XXII, 681 páginas) : 276 ilustraciones, 197 ilustraciones a color.ISBN: 9789811626418.Subject: Internet de los objetos -- Congresos y asambleas
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | QA76.5915 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.09012658 |
Using Machine Learning, Image Processing & Neural Networks to Sense Bullying in K-12 Schools: Enhanced -- Feature based Comparative Study of Machine Learning Algorithms for Credibility Analysis of Online Social Media Content -- Smart support system for navigation of visually challenged person using IOT -- Identity Based Video Summarization -- Security Testing for Blockchain enabled IoT system.
This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22-23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies.
There are no comments on this title.