Advanced Computing
11th International Conference, IACC 2021, Msida, Malta, December 18-19, 2021, Revised Selected Papers
Published on 7. February 2022
XXIX, 689 pages
978-3-030-95502-1 (ISBN)
Description
This volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021.
The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XXIX, 689 p. 393 illus., 285 illus. in color.
ISBN-13
978-3-030-95502-1 (9783030955021)
DOI
10.1007/978-3-030-95502-1
Schweitzer Classification
Other editions
Additional editions
Deepak Garg | Sarangapani Jagannathan | Ankur Gupta
Advanced Computing
11th International Conference, IACC 2021, Msida, Malta, December 18-19, 2021, Revised Selected Papers
Book
02/2022
Springer
€128.39
Shipment within 7-9 days
Content
Application of Artificial Intelligence and Machine Learning in Healthcare.- Application of AI for emotion and behaviour prediction.- Problem solving using Reinforcement learning and Analysis of data.- Advance uses of RNN and Regression Techniques.- Special intervention of AI.
