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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

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


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Testing of a Hybrid FES-Robot Assisted Hand Motor Training Program in Sub-Acute Stroke Survivors, GRIGORAS, A. V., IRIMIA, D. C., POBORONIUC, M. S., POPESCU, C. D.
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Lattice Boltzmann Method Implementation on Multiple Devices using OpenCL, TEKIC, J. B., TEKIC, P. M., RACKOVIC, M.
Issue 3/2018


Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards, CEKLI, S., UZUNOGLU, C. P., UGUR, M.
Issue 2/2018


A Comparative Parametric Analysis of the Ground Fault Current Distribution on Overhead Transmission Lines, VINTAN, M.
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Measurement of Soil Resistivity in Order to Determine the Buried Walls Trajectory, MUNTEANU, M. S., CZUMBIL, L., MICU, D. D., BRAICU, S. F., NEMETI, S., PISLARU, M.
Issue 1/2017


Improving the Energy Management of a Solar Electric Vehicle, GUNESER, M. T., ERDIL, E., CERNAT, M., OZTURK, T.
Issue 4/2015



Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2011 - 9

Automatic Tools for Diagnosis Support of Total Hip Replacement Follow-up

FLOREA, L. See more information about FLOREA, L. on SCOPUS See more information about FLOREA, L. on IEEExplore See more information about FLOREA, L. on Web of Science, FLOREA, C. See more information about  FLOREA, C. on SCOPUS See more information about  FLOREA, C. on SCOPUS See more information about FLOREA, C. on Web of Science, VERTAN, C. See more information about  VERTAN, C. on SCOPUS See more information about  VERTAN, C. on SCOPUS See more information about VERTAN, C. on Web of Science, SULTANA, A. See more information about SULTANA, A. on SCOPUS See more information about SULTANA, A. on SCOPUS See more information about SULTANA, A. on Web of Science
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 (1,218 KB) | Citation | Downloads: 1,132 | Views: 3,599

Author keywords
biomedical image processing, feature extraction, image enhancement, prosthetics, X-rays

References keywords
image(9), processing(5), images(5), analysis(5), pattern(4), medical(4), imaging(4), florea(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 55 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04009
Web of Science Accession Number: 000297764500009
SCOPUS ID: 84856590908

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Total hip replacement is a common procedure in today orthopedics, with high rate of long-term success. Failure prevention is based on a regular follow-up aimed at checking the prosthesis fit and state by means of visual inspection of radiographic images. It is our purpose to provide automatic means for aiding medical personnel in this task. Therefore we have constructed tools for automatic identification of the component parts of the radiograph, followed by analysis of interactions between the bone and the prosthesis. The results form a set of parameters with obvious interest in medical diagnosis.

References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 33,849 TCR
SCOPUS® Citations for all references: 31,762 TCR

Web of Science® Average Citations per reference: 1,167 ACR
SCOPUS® Average Citations per reference: 1,095 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-09-24 19:53 in 64 seconds.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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