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ICTCC 2023: Ho Chi Minh City, Vietnam

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Phan Cong Vinh, Hafiz Mahfooz Ul Haque:
Nature of Computation and Communication - 9th EAI International Conference, ICTCC 2023, Ho Chi Minh City, Vietnam, October 26-27, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 586, Springer 2024, ISBN 978-3-031-59461-8

Advances in AI in Computing and Communications

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Nguyen Thanh Son, Trong Tien Hoang, Satyam Mishra, Bich Thuy Nguyen Thi, Tran Huu Tam, Cong-Doan Truong:
Advancing Online Education: An Artificial Intelligence Applied System for Monitoring and Improving Employee Engagement in Enterprise Information Systems. 3-18
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Dang Van Pham, Phan Cong Vinh, Bao Khang Nguyen:
Algebraic Semantics of Register Transfer Level in Synthesis of Stream Calculus-Based Computing Big Data in Livestream. 19-35
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Anh Bao Nguyen Le, Chi Bao Nguyen, Quoc Cuong Dang, Be Hai Danh, Huynh Nhu Le, Huong Hoang Luong, Hai Thanh Nguyen:
An Approach for Object Recognition in Videos for Vocabulary Extraction. 36-51
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Dang Nhu Phu, Phan Cong Vinh, Nguyen Kim Quoc:
A Self-organization Model for MAS Based on Trust. 52-69
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Josef Horalek, Tereza Otcenásková, Vladimir Sobeslav, Petr Tucník:
A Business Process and Data Modelling Approach to Enhance Cyber Security in Smart Cities. 70-84
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Lubomir Almer, Josef Horalek, Tomás Svoboda:
Possibilities of Using Fuzz Testing in Smart Cities Applications. 85-97
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Tomás Svoboda, Lubomir Almer, Patrik Urbanik, Vladimir Sobeslav, Josef Horalek:
Unified Smart City Domain Model for Central Europe. 98-110
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Waralak Vongdoiwang Siricharoen:
Applying AI and Ontologies to the Covid Pandemic. 111-121

AMS: Applied Mathematics in Sciences

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Nguyen Van Han, Phan Cong Vinh:
Steps Towards Fuzzy Homotopy Based on Linguistic Variables. 125-132
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Nguyen Van Han, Phan Cong Vinh:
Reasoning with Words: Steps Towards Applying in Mobile System. 133-147
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Kien Cao Van:
Applying Design of Experiments to Evaluate the Influence of Parameters on the Economic Feasibility of the Eco-Industrial Parks. 148-172
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Ha Minh Tan, Le Gia Minh, Tran Cao Minh, Tran Thi Be Quyen, Kien Cao Van:
Comparing LSTM Models for Stock Market Prediction: A Case Study with Apple's Historical Prices. 173-185

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