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Latest issue
The latest issue of AMCS, 2018, Vol. 28, No. 4, is a regular one and covers 15 papers. Many thanks to the Authors for their cooperation with us on this issue!
20 December 2018
Forthcoming issue
The next issue, 2019, Vol. 29, No. 1, will include a special section on Data Science Algorithms and Techniques for Big
Data, and will be published at the end of March 2019.
20 December 2018
Our Impact Factor
Our most recent Impact Factor (for 2017), published in Clarivate Analytics' latest InCites Journal Citation Reports, amounts to 1.694, while our new 5-Year IF is 1.712. We appreciate all contributions and hope for continuous interest in our journal.
27 June 2018
2019 Subscription
We encourage everyone to subscribe to the print version of our journal for timely and steady supply of our publications. To enter your subscription, please visit the Subscription section.
Author resources updated
Please note that our LaTeX class and instructions for authors have been modified to add new functionalities and useful guidelines. Make sure you download the currently biding versions from the Guide section.
12 October 2018
Back issues digitized
We are happy to announce that as of today full texts of all AMCS publications are available online – the back issues of our journal, i.e., Volumes 1–10 (1991–2000), totalling 410 papers, have been digitized as scans and made available for download. We hope this will make the earlier works better known in the scientific community.
21 December 2016
Polish ministerial points
According to the announcement of 12 December 2016, papers published in AMCS receive 25 points in the evaluation procedure of the Polish Ministry of Science and Higher Education (Part A of the list). Details.
26 January 2017
Recommended reading
We would like to draw our Readers' attention to the following recent articles:
- H_/H∞ fault detection observer design for a polytopic LPV system using the relative degree by Meng Zhou, Mickael Rodrigues, Yi Shen, Didier Theilliol, which proposes an H_/H∞ fault detection observer method by using generalized output for a class of polytopic linear parameter-varying (LPV) systems (2018, Vol. 28, No. 1).
- Machine-learning in optimization of expensive black-box functions by Yoel Tenne, who proposes the integration of classifiers, borrowed from the domain of machine learning, into the optimization process in modern engineering design (2017, Vol. 27, No. 1).
- Efficient RGB-D data processing for feature-based self-localization of mobile robots by Marek Kraft, Michał Nowicki, Rudi Penne, Adam Schmidt, Piotr Skrzypczyński, which considers the problem of position and orientation estimation for an active vision sensor that moves with respect to the full six degrees of freedom (2016, Vol. 26, No. 1).
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