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Welcome to Beijing for ISCIIA 2020!

 

The 9th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2020) will be held in Beijing, P. R. China. The ISCIIA 2020 is an international conference that provides a forum for scientists and engineers over the world to present their own theoretical results and techniques in the field of computational intelligence, information technology, and industrial/control applications. The past conference proceedings have been indexed in EI since 2004. Selected excellent papers will be recommended for publication in a special issue in JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics, ESCI/SCOPUS/EI indexed) after revision. Taking this opportunity, we sincerely welcome our colleagues worldwide to join us for this conference.Technical topics of the conference include but are not limited to: 

Control Theory and Applications                        Data Mining
Network-Based Control                                       Intelligent Control
Data Fusion                                                          Fuzzy Systems
Fuzzy and Neural Systems                                  Neural Networks
Human-Computer Interface                                 Evolutionary Computing
Multi-Agent Systems                                           Learning Systems
Network Security                                                 Mechatronics
Intelligent Transportation Systems                      Motion Control
Robotics                                                               Signal and Image Processing

 

Organizer:

Beijing Institute of Technology (BIT)

 

Sponsors:

Beijing Association of Automation (BAA)

Japan Society for the Promotion of Science (JSPS)

Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)

International Fuzzy Systems Association (IFSA)

IEEE Systems, Man, and Cybernetics Society (Beijing Capital Region Chapter)

IEEE Computational Intelligence Society (Beijing Chapter)

IEEE-IES Technical Committee of Human Factors

 

Co-Sponsors:

Fuji Technology Press Ltd

KTI Semiconductor Manufacturing Machine Co. Ltd

 

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Publication Ethics and Publication Malpractice Statement

It is necessary to agree upon standards of expected ethical behavior for all parties involved in the act of publishing (authors, editors, peer reviewers, publisher). ISCIIA 2020 ethic statements are based on the guidelines and standards developed and published by the Committee on Publication Ethics (COPE). 

 

Editors

1. ISCIIA 2020 editor is responsible for deciding which of the articles submitted to the conference should be published.

2. ISCIIA 2020 editor will accept and evaluate manuscripts for their intellectual content regardless of race, gender, nationality, ethics origin, political philosophy, religious belief or sexual orientation of the authors.

3. Editors must not disclose any information about a submitted manuscript to anyone other than stakeholders.

4. Unpublished manuscripts or materials must not be used in an editors own research.


Authors

1. Authors attest that paper is their own, original and unpublished work.

2. Authors guarantee that the manuscript has not been copied or plagiarized (in whole or in part); a paper should contain sufficient details and references to permit others to replicate the work; any used information resources (phrases, data, images…) must be appropriately cited or quoted.

3. Authorship should be limited to those who have made a significant contribution to the manuscript content. All those who made significant contribution should be listed as co-authors.

4. Affiliation (all authors/co-authors) and corresponding address (main author) must be clearly stated.

5. When authors discover a significant error or inaccuracy in theirown published work, it is the authors' obligation to promptly notify the Publisher and cooperate with the editor to retract or correct the paper.


Reviewers

1. All manuscripts received for review must be treated as confidential documents.

2. Privileged information/ideas obtained by reviewers through peer review process must be kept confidential and not used for personal advantage.

3. Personal criticism of the author is inappropriate; review should be conducted objectively.

4. All suggestions and comments should be followed by supporting arguments.