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Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025)

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025)/ edited by Phayung Meesad ... [et al.].
remainder title:	IC2IT 2025
other author:	Meesad, Phayung.
corporate name:	International Conference on Computing and Information Technology
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	x, 194 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Predicting the Employment Rate of Students after Graduation using Machine Learning Methods -- A Student Performance Prediction Model using Machine Learning Models in Mmultimodal Learning Analytics -- Predicting Employee Attrition Using Machine Learning: A Comparative Analysis of Traditional Models and Neural Networks -- Leveraging PubMed Abstracts for Identifying COVID19 Treatment Modalities -- Distinguishing AI Generated Text from Human-Written Text Using Machine Learning.
Contained By:	Springer Nature eBook
Subject:	Computer science - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-90295-6
ISBN:	9783031902956

Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025)
Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025)[electronic resource] /IC2IT 2025edited by Phayung Meesad ... [et al.]. - Cham :Springer Nature Switzerland :2025. - x, 194 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,13902367-3389 ;. - Lecture notes in networks and systems ;1390..

Predicting the Employment Rate of Students after Graduation using Machine Learning Methods -- A Student Performance Prediction Model using Machine Learning Models in Mmultimodal Learning Analytics -- Predicting Employee Attrition Using Machine Learning: A Comparative Analysis of Traditional Models and Neural Networks -- Leveraging PubMed Abstracts for Identifying COVID19 Treatment Modalities -- Distinguishing AI Generated Text from Human-Written Text Using Machine Learning.

This book gathers the high-quality papers presented at the 21st International Conference on Computing and Information Technology (IC2IT2025), held on May 15-16, 2025, in Kanchanaburi, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology.

ISBN: 9783031902956

Standard No.: 10.1007/978-3-031-90295-6doiSubjects--Topical Terms:

606819
Computer science
--Congresses.

LC Class. No.: QA75.5

Dewey Class. No.: 004

Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025)
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245 1 0 $a Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025) $h [electronic resource] / $c edited by Phayung Meesad ... [et al.].
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300 $a x, 194 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1390
505 0 $a Predicting the Employment Rate of Students after Graduation using Machine Learning Methods -- A Student Performance Prediction Model using Machine Learning Models in Mmultimodal Learning Analytics -- Predicting Employee Attrition Using Machine Learning: A Comparative Analysis of Traditional Models and Neural Networks -- Leveraging PubMed Abstracts for Identifying COVID19 Treatment Modalities -- Distinguishing AI Generated Text from Human-Written Text Using Machine Learning.
520 $a This book gathers the high-quality papers presented at the 21st International Conference on Computing and Information Technology (IC2IT2025), held on May 15-16, 2025, in Kanchanaburi, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology.
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650 2 4 $a Computational Intelligence. $3 1001631
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