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Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025)
Details
This book gathers the high-quality papers presented at the 21st International Conference on Computing and Information Technology (IC2IT2025), held on May 1516, 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
Presents recent advances in information and communication technology Includes proceedings of the 21st International Conference on Computing and Information Technology (IC2IT2025) Written by experts in the field
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031902949
- Genre Technology Encyclopedias
- Editor Phayung Meesad, Sunantha Sodsee, Watchareewan Jitsakul, Sakchai Tangwannawit
- Lesemotiv Verstehen
- Anzahl Seiten 204
- Herausgeber Springer
- Größe H235mm x B155mm x T12mm
- Jahr 2025
- EAN 9783031902949
- Format Kartonierter Einband
- ISBN 3031902947
- Veröffentlichung 14.05.2025
- Titel Proceedings of the 21st International Conference on Computing and Information Technology (IC2IT 2025)
- Untertitel Lecture Notes in Networks and Systems 1390
- Gewicht 318g
- Sprache Englisch