Intelligent Computing

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Prof. Li-Hua Li
Email : lhli@cyut.edu.tw
Department of Information Management, Chaoyang University of Technology, Taiwan

Prof. Min-Hsiang Hwang
Email : mshwang@asia.edu.tw
Department of Computer Science and Information Engineering, Asia University, Taiwan

Prof. Cheng-Ying Yang
Email : cyang@uTaipei.edu.tw
Department of Computer Science, University of Taipei, Taiwan

Summary of this topic:

In the future, Artificial Intelligent applications will lead to a smart world. With this great contribution, Knowledge Engineering is the core part of AI research and application. AI has to access and deal with the objects, categories, properties to implement the realistic with knowledge engineering, such as Machines and Robots react like human beings if they have abundant related information. With the information, the derived functions enable the generation of appropriate outcomes from the respective inputs. Mathematical analysis of machine learning is a branch of theoretical Knowledge and is treated as the learning theory. Robots require intelligence response such as object manipulation and navigation along with positioning, motion planning and respective mapping. In all AI application with knowledge engineering, these intellectual responses are supported with intelligent computing.

Intelligent computing is a science for the integrated decision to the environments of modeling systems. It provides a rapid and comprehensive assessment of the complicated situations to the decisions on modification of modeled objects in the environments with abundant complex information. Specifically, it has been organized to excite the computer industry to achieve the benefits from the advances of next generation computer technology. The emergent knowledge of Intelligent Computing focuses on the development of new AI systems. The latest developments in this knowledge are High Performance Computing, Advanced Algorithms, Image and Multimedia Processing, Databases, Machine Learning, Deep Learning, Data Science and Computing in Education.

For the growing needs of AI knowledge, contributing to the smart world, this special issue aims to create a platform to support new concepts and theoretical insights in analysis and derivation of intelligent computing. Also, it provides an opportunity to share the scientific, engineering, and commercial applications on intelligent computing. Topics include, but not limited, within

1. Computational sciences, High performance computing
2. Precision science, Smart internet of things
3. Intelligent computation, Statistical analysis, Fuzzy logics
4. Artificial neural networks, Intelligent system
5. Machine learning, Big data science
6. Deep neural networks, Pattern recognition
7. Data mining and Knowledge Engineering
8. Learning automata, Pattern recognition
9. Intelligence for security, Cloud Computing
10. Computing intelligence in Education

Paper Submission

Full text submission due date: August 31, 2019
Full paper should be submitted online to the journal at http://oeps.aimspress.com/mbe/ch/author/login.aspx
Before submission, authors should carefully read over the instruction for Authors which are located at http://www.aimspress.com/news/295.html

Chunxue Wu, Fang Yang, Yan Wu, Ren Han
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Hui-Yu Huang, Wei-Chang Tsai
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