Información de la conferencia
IJTCS-FAW 2024: International Joint Conference on Theoretical Computer Science – Frontier of Algorithmic Wisdom
https://ijtcs2024.comp.polyu.edu.hk/Día de Entrega: |
2024-04-08 |
Fecha de Notificación: |
2024-05-15 |
Fecha de Conferencia: |
2024-07-29 |
Ubicación: |
Hong Kong, China |
Vistas: 5541 Seguidores: 1 Asistentes: 0
Solicitud de Artículos
International Joint Conference on Theoretical Computer Science – Frontier of Algorithmic Wisdom (IJTCS-FAW 2024) will be held on July 29 – August 2, 2024, hosted by The Hong Kong Polytechnic University. We aim to provide a platform for advancing theoretical computer science and promoting the exchange of knowledge and ideas. It is the 5th IJTCS and 18th FAW (originally run as a workshop). FAW is joining IJTCS as the main track selecting high-quality submissions together with several new tracks. IJTCS-FAW 2024 is calling for papers concerning any branch of theoretical computer science, together with focus tracks in Algorithm and Complexity, Algorithmic Game Theory, Automata Theory and Formal Languages, Blockchain, Computational Biology and Bioinformatics, Computational Geometry, Formal Methods and Verification, Graph Theory and Algorithms, Multi-agent Reinforcement Learning, Network Economics, Parallel and Distributed Algorithms, Quantum Computation, Theoretical Aspects of Artificial Intelligence, Theory of Machine Learning.
Última Actualización Por Dou Sun en 2024-03-31
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Nombre Completo | Factor de Impacto | Editor |
---|---|---|
International Journal of Information Technology, Modeling and Computing | AIRCC | |
Procedia Manufacturing | Elsevier | |
IEEE Signal Processing Letters | 3.200 | IEEE |
China Communications | 3.100 | IEEE |
New Review of Hypermedia and Multimedia | 1.400 | Taylor & Francis |
IEEE Transactions on Human-Machine Systems | 3.500 | IEEE |
Journal of Object Technology | EtH Zurich | |
ACM Transactions on Computing Education | 3.200 | ACM |
Language Learning & Technology | 3.800 | University of Hawaii Press |
Digital Government: Research and Practice | ACM |