The Asian Branch of International Conference on Membrane Computing is one of the flagship conferences on Membrane Computing, aiming to provide a high-level international forum for researchers working in membrane computing and related areas, especially for the ones from the Asian region. This conference is the eighth edition of ACMC with the seven editions having successfully taken place in Wuhan (China, 2012), Chengdu (China, 2013), Coimbatore (India, 2014), Anhui (China, 2015), Bangi (Malaysia, 2016), Chengdu (China, 2017), Auckland (New Zealand, 2018), Xiamen (China, 2019), Ulaanbaatar(Mongolia, 2020), Chengdu (China, 2021)，Quezon (Philippines, 2022) and also a geographical expansion of ICMC (International Conference on Membrane Computing). The other branch, European Branch of ICMC (ECMC), which is held every year from the year of 2000 in deferent European Countries.
Like artificial neural networks, evolutionary algorithms, swarm intelligence, cellular automata and DNA computing, membrane computing is also a branch of natural computing or nature-inspired computing and was initiated by Gheorghe Păun in 1998. It aims to abstract computing models, called membrane systems or P systems, from the structure and the functioning of the living cell as well as from the cooperation of cells in tissues, organs, and populations of cells. This research area has grown into a vigorous scientific discipline and has attracted a large number of researchers all over the world. For more information, please refer to the P systems Webpage (http://ppage.psystems.eu)and to the International Membrane Computing Society Webpage(http://imcs.org.cn/conferences.php).
Membrane computing, on topics related to theory, application and implementation of membrane computing but not limited to as follows:
- Theoretical aspects of membrane computing- Various variants of computing models: cell-, tissue- and neural-like P systems.
- Computing power of membrane computing models.
- Computing efficiency of membrane computing models.
- Applications of membrane computing
- Robot controller design.
- Modeling using P systems for biosystems, biomedicine, ecological systems, etc.
- Membrane-inspired optimization algorithms for various problems.
- Fault diagnosis of various systems, such as robots, power systems, etc.
- Information and communication technologies.
- Information security and cryptography
- Other applications.
- Implementation of membrane computing models
- Software implementation.
- Hardware implementation.
- Biological implementation.
- Biochip implementation.
- Other implementations.
- Related topics
-Bio-Inspired Optimization Techniques, such as optimization algorithms inspired by cells or DNA computing.
-Other topics related to membrane computing or dealing with cellular computing, DNA computing, reaction systems, etc.
Sentiment analysis is an important research direction in the natural language processing (NLP) of artificial intelligence (AI). It usually uses machine learning and deep learning to analyze and classify the sentiments displayed by text data. In recent years, online social network platforms have been widely integrated into people's lives. People can comment on an event and participate in discussions anytime and anywhere. The sentiments conveyed by these texts promote the rapid development of online network public opinions. Network public opinion even affects the security of cyberspace, which has powerfully attracted the attention of educational, academic, and industrial circles. This special session aims to collect recent research achievements in novel methods, techniques, developments, empirical studies, and new developments in sentiment analysis and public opinion guidance on online social networks. The focus of this session is to use AI methods and technologies to conduct sentiment analysis of online text information, establish theories, methods, and technologies for online public opinion guidance, accurately, efficiently, and intelligently identify online public opinion, guide online public opinion forward development, and ensure the security of cyberspace. Therefore, our mission is to empower sentiment analysis and public opinion guidance with the capability of “smart” by providing a forum for scientists, engineers, researchers, and students to discuss and exchange their new ideas, novel results, work in progress, and experience on all aspects of AI-empowered methods and techniques in sentiment analysis and public opinion guidance on social networks.
The topics of interest for this special session include, but are not limited to:
ACMC 2023 and AC 2023 now allows both an Early and a Late Submissions.
| Early Submission (Full Paper) | |
|---|---|
| - Submission Deadline | July 15, 2023 |
| - Notification Deadline | July 30, 2023 |
| Common Dates | |
|---|---|
| - Final Version | August 15, 2023 |
| - Early Online Registration Deadline | August 20, 2023 |
| - Conference | September 24-27, 2023 |
1 |
Tao Wang School of Electrical Engineering and Electronic Information Xihua University, Chengdu 610039, China Email：twang@mail.xhu.edu.cn |
2 |
Yan-Li Lee School of Computer and Software Engineering Xihua University, Chengdu 610039, China Email：yanlicomplex@gmail.com |