E-Book, Englisch, Band 238, 681 Seiten, eBook
Nanda / Verma / Srivastava Data Engineering for Smart Systems
1. Auflage 2022
ISBN: 978-981-16-2641-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Proceedings of SSIC 2021
E-Book, Englisch, Band 238, 681 Seiten, eBook
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-16-2641-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.