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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Aug 2023
Next issue: Nov 2023
Avg review time: 78 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  2/2012 - 7

A Fast Method for the Alignment of the Displacement of Voxel Data

SPELIC, D. See more information about SPELIC, D. on SCOPUS See more information about SPELIC, D. on IEEExplore See more information about SPELIC, D. on Web of Science, NOVAK, F. See more information about  NOVAK, F. on SCOPUS See more information about  NOVAK, F. on SCOPUS See more information about NOVAK, F. on Web of Science, ZALIK, B. See more information about ZALIK, B. on SCOPUS See more information about ZALIK, B. on SCOPUS See more information about ZALIK, B. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (817 KB) | Citation | Downloads: 776 | Views: 3,621

Author keywords
data preprocessing, image matching, matching pursuit algorithm, optimal matching, biomedical image processing

References keywords
data(10), visualization(7), analysis(5), voxel(4), image(4), graphics(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 41 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02007
Web of Science Accession Number: 000305608000007
SCOPUS ID: 84865304740

Abstract
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A fast algorithm for the alignment of the displacement of voxel data is presented. In contrast to the existing solutions, the proposed algorithm achieves a less accurate alignment, but in a much shorter time. The algorithm consists of two parts: a translation and a rotation. While the translation part of the alignment process is error free, the rotation part introduces a small inherent error due to the finite arithmetic and discretization. Experimental results based on three datasets are presented.


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Cited-By CrossRef

[1] A Novel Keep Zero as Zero Polar Correlation Technique for Mobile Robot Localization using LIDAR, SIDHARTHAN, R. K., KANNAN, R., SRINIVASAN, S., BALAS, M. M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.04003
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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