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Gupta / Khanna / Bhattacharyya

International Conference on Innovative Computing and Communications

Proceedings of ICICC 2020, Volume 1

Medium: Buch
ISBN: 978-981-15-5112-3
Verlag: Springer Nature Singapore
Erscheinungstermin: 24.10.2020
Lieferfrist: bis zu 10 Tage

This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.



Produkteigenschaften


  • Artikelnummer: 9789811551123
  • Medium: Buch
  • ISBN: 978-981-15-5112-3
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 24.10.2020
  • Sprache(n): Englisch
  • Auflage: 2021. Auflage 2020
  • Serie: Advances in Intelligent Systems and Computing
  • Produktform: Kartoniert
  • Gewicht: 1633 g
  • Seiten: 1180
  • Format (B x H x T): 161 x 232 x 43 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Systematic Analysis and Prediction of Air Quality Index in Delhi.- Analysis of Diabetes and Heart Disease in Big Data Using MapReduce Framework.- User Interface of a Drawing App for Children: Design and Effectiveness.- Rank Aggregation Using Moth Search for Web.- Handling Class Imbalance Problem in Heterogeneous Cross Project Defect Prediction.- A Novel Framework for Distributed Stream Processing and Analysis of Twitter.- Convection Dynamics of Nanofluids for Temperature and Magnetic Field Variations.- Movie recommendation Using Content based and Collaborative Filtering.- Building English-Punjabi Parallel Corpus for Machine Translation.- Comparative Analysis of Different Balanced Truncation Techniques of Model Order Reduction.- Text-Independent Voice Authentication System Using MFCC Features.