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

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

Table des matières

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.

Résumé

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

Détails du produit

• Collaboration: Watchareewan Jitsakul (Editeur), Watchareewan Jitsakul et al (Editeur), Phayung Meesad (Editeur), Sunantha Sodsee (Editeur), Sakchai Tangwannawit (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 22.05.2025
• EAN: 9783031902949
• ISBN: 978-3-0-3190294-9
• Pages: 194
• Dimensions: 155 mm x 11 mm x 235 mm
• Poids: 318 g
• Illustrations: X, 194 p. 77 illus., 60 illus. in color.
• Thème: Lecture Notes in Networks and Systems
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Général, dictionnaires; Künstliche Intelligenz, Data Science, Big Data, machine learning, Information Technology, Data Engineering, Computational Intelligence, Communication Technology, Intelligent Systems, Data Network, IC2IT, IC2IT 2025