03855nam a22005415i 4500 978-3-031-58561-6 DE-He213 20251030112041.0 cr nn 008mamaa 240514s2024 sz | s |||| 0|eng d 9783031585616 978-3-031-58561-6 10.1007/978-3-031-58561-6 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Proceedings of the 20th International Conference on Computing and Information Technology (IC2IT 2024) [electronic resource] / edited by Phayung Meesad, Sunantha Sodsee, Watchareewan Jitsakul, Sakchai Tangwannawit. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 163 p. 100 illus., 65 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 973 Chapter 1: Identifying Key Issues to Enhance the Cybersecurity Awareness Strategy within Organizations -- Chapter 2: Human-Motion Guided Frame Selection with Adaptive Gamma Correction for Violent Video Classification -- Chapter 3: Predictive Modeling of Vicat Softening Point for Low-Density Polyethylene Using GBM, XGBoost and AdaBoost: A Comparative Analysis -- Chapter 4: SDN Enabled L2 Switch Implementation and its Performance Evaluation through P4 Programming -- Chapter 5: Formal Verification of Sequence Diagram with State Invariants using Timed Automata -- Chapter 6: On Student’s Behavior Prediction for Library Service Quality Using Bidirectional Deep Machine Learning -- Chapter 7: Formal Verification of Vessel Scheduling using Probabilistic Timed Automata -- Chapter 8: Fuzzy AHP-Based Evaluation of Key Success Factors in Digital Marketing for the Food Retail Industry. This book gathers the high-quality papers presented at the 20th International Conference on Computing and Information Technology (IC2IT2024), held on May 16-17, 2024, in Bangkok, 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, 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. Computational intelligence. 64052 Engineering Data processing. Computational Intelligence. 64052 Data Engineering. 66059 Meesad, Phayung. editor. edt http://id.loc.gov/vocabulary/relators/edt 76802 Sodsee, Sunantha. editor. edt http://id.loc.gov/vocabulary/relators/edt 76803 Jitsakul, Watchareewan. editor. edt http://id.loc.gov/vocabulary/relators/edt 76804 Tangwannawit, Sakchai. editor. edt http://id.loc.gov/vocabulary/relators/edt 76805 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031585609 Printed edition: 9783031585623 Lecture Notes in Networks and Systems, 2367-3389 ; 973 https://doi.org/10.1007/978-3-031-58561-6 ZDB-2-INR ZDB-2-SXIT 59848 59848