1.

Record Nr.

UNINA9910483120103321

Titolo

Advances in Decision Sciences, Image Processing, Security and Computer Vision : International Conference on Emerging Trends in Engineering (ICETE), Vol. 1 / / edited by Suresh Chandra Satapathy, K. Srujan Raju, K. Shyamala, D. Rama Krishna, Margarita N. Favorskaya

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-24322-2

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (835 pages)

Collana

Learning and Analytics in Intelligent Systems, , 2662-3455 ; ; 3

Disciplina

620

Soggetti

Computational intelligence

Signal processing

Computational Intelligence

Signal, Speech and Image Processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

This book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globepresent the latest state-of-the-art research, and are useful topostgraduate students, researchers, academics and industryengineers working in the respective fields. Volume 1 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the area ofbiomedical and computer science engineering, discussing sustainable



developments in the field, such as instrumentation and innovation,signal and image processing, Internet of Things, cryptography andnetwork security, data mining and machine learning.