Darko Brodic

Dr. Darko Brodic


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 August 2016 in Neural Computing and Applications
Verified
Journal Article
Closed access
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DBDarko Brodic
Darko Brodic
AAAlessia Amelio
Alessia Amelio
ZMZoran N. Milivojević
Zoran N. Milivojević

1 August 2015 in Measurement Science Review
Verified
Journal Article
Open access
DBDarko Brodic
Darko Brodic
AAAlessia Amelio
Alessia Amelio
The paper considers the level of the extremely low-frequency magnetic field, which is produced by laptop computers. The magnetic field, which is characterized by extremely low frequencies up to 300 Hz is measured due to its hazardous effects to the laptop user's health. The experiment consists of testing 13 different laptop computers in normal operation conditions. The measuring of the magnetic field is performed in the adjacent neighborhood of the laptop computers. The measured data are presented and then classified. The classification is performed by the K-Medians method in order to determine the critical positions of the laptop. At the end, the measured magnetic field values are compared with the critical values suggested by different safety standards. It is shown that some of the laptop computers emit a very strong magnetic field. Hence, they must be used with extreme caution.


26 December 2016 in Applied Intelligence
Verified
Journal Article
Closed access
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DBDarko Brodic
Darko Brodic
AAAlessia Amelio
Alessia Amelio
ZMZoran N. Milivojević
Zoran N. Milivojević

1 January 2013 in The Scientific World Journal
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Journal Article
Open access
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DBDarko Brodic
Darko Brodic
ZMZoran N. Milivojević
Zoran N. Milivojević
ČMČedomir A. Maluckov
Čedomir A. Maluckov
Any document in Serbian language can be written in two different scripts: Latin or Cyrillic. Although characteristics of these scripts are similar, some of their statistical measures are quite different. The paper proposed a method for the extraction of certain script from document according to the occurrence and co‐occurrence of the script types. First, each letter is modeled with the certain script type according to characteristics concerning its position in baseline area. Then, the frequency analysis of the script types occurrence is performed. Due to diversity of Latin and Cyrillic script, the occurrence of modeled letters shows substantial statistics dissimilarity. Furthermore, the co‐occurrence matrix is computed. The analysis of the co‐occurrence matrix draws a strong margin as a criteria to distinguish and recognize the certain script. The proposed method is analyzed on the case of a database which includes different types of printed and web documents. The experiments gave encouraging results.

7 June 2017 in Multimedia Tools and Applications
Verified
Journal Article
Closed access
PDF file
DBDarko Brodic
Darko Brodic
AAAlessia Amelio
Alessia Amelio
RJRadmila Janković
Radmila Janković