Advanced Computing
11th International Conference, IACC 2021, Msida, Malta, December 18-19, 2021, Revised Selected Papers
Published on 8. February 2022
Book
Paperback/Softback
XXIX, 689 pages
978-3-030-95501-4 (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
Illustrations
108 s/w Abbildungen, 285 farbige Abbildungen
XXIX, 689 p. 393 illus., 285 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 39 mm
Weight
1072 gr
ISBN-13
978-3-030-95501-4 (9783030955014)
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
E-Book
02/2022
Springer
€117.69
Available for download
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.