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Noor / Trivedi / Sen

Proceedings of Emerging Trends and Technologies on Intelligent Systems

ETTIS 2021

Medium: Buch
ISBN: 978-981-16-3096-5
Verlag: Springer Nature Singapore
Erscheinungstermin: 02.10.2021
Lieferfrist: bis zu 10 Tage

This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2021) held from 4 – 5 March 2021 in online mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.


Produkteigenschaften


  • Artikelnummer: 9789811630965
  • Medium: Buch
  • ISBN: 978-981-16-3096-5
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 02.10.2021
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Advances in Intelligent Systems and Computing
  • Produktform: Kartoniert
  • Gewicht: 569 g
  • Seiten: 362
  • Format (B x H x T): 155 x 235 x 21 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Application Layer Ddos Attack Detection And Defense Methods.- Identification and Analysis of Threat Vector for Security Evaluation of LAN.- Review of Stack-Based Binary Exploitation Techniques.- OntoBlogDis: A Knowledge Centric Ontology Driven Socially Aware Framework for Influential Blogger Discovery.- An Ontology based Semantic Approach for First Aid Prediction in Aviation Services incorporating RBFNN over a Cloud Server.- Benchmarking Analysis of CNN Architectures for Arti?cial Intelligence Platforms.- Welding Defect Inspection using Deep learning.- Image generation using GAN and their classification using SVM and CNN.- VDNet: Vehicle Detection Network using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System.- FCNet: Flower Classification Using Custom Made Convolution Neural Network and Transfer Learning.