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…mehr
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.
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.
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.
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.
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.
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