Fr. 134.00

Advanced Computing - 12th International Conference, IACC 2022, Hyderabad, India, December 16-17, 2022, Revised Selected Papers, Part I

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022.
The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries.

List of contents

AI in Industrial Applications.- Application of AI for Disease Classification and Trend Analysis.- Design of agricultural applications using AI.- Disease Classification Using CNN.

Product details

Assisted by V A Narayana (Editor), Jaume Anguera (Editor), Deepak Garg (Editor), Suneet Kumar Gupta (Editor), Vijaya Kumar Koppula (Editor), P N Suganthan et al (Editor), V. A. Narayana (Editor), P. N. Suganthan (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 23.07.2023
 
EAN 9783031356407
ISBN 978-3-0-3135640-7
No. of pages 506
Dimensions 155 mm x 29 mm x 235 mm
Illustrations XXXIV, 506 p. 282 illus., 237 illus. in color.
Series Communications in Computer and Information Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.