1.

Record Nr.

UNISA996508666403316

Titolo

Advancements in Interdisciplinary Research [[electronic resource] ] : First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers / / edited by Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022

ISBN

3-031-23724-2

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (562 pages)

Collana

Communications in Computer and Information Science, , 1865-0937 ; ; 1738

Disciplina

006.3

Soggetti

Artificial intelligence

Image processing—Digital techniques

Computer vision

Computer engineering

Computer networks

Social sciences—Data processing

Application software

Software engineering

Artificial Intelligence

Computer Imaging, Vision, Pattern Recognition and Graphics

Computer Engineering and Networks

Computer Application in Social and Behavioral Sciences

Computer and Information Systems Applications

Software Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Novel Technologies enabled Secured Privacy Models and Optimized Networking Infrastructures toward Secure Industries -- Developments towards Sustainable Healthcare Sector -- Machine Learning and Deep Learning Enabled Applications in Different Sectors -- Robotics and Computer Vision for Intelligent Automation in Industries -- Trending Technologies: Frameworks and Applications focusing Real Life Issues.



Sommario/riassunto

This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.