Özdemir, Büşra

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/6776
Name Variants
Ö., Büşra
Büşra, Özdemir
B., Özdemir
Büşra Özdemir
O.,Busra
Özdemir, Büşra
Ozdemir, Busra
B.,Özdemir
B., Ozdemir
Ozdemir,B.
Busra, Ozdemir
Ozdemir B.
O., Busra
Ö.,Büşra
Özdemir,B.
B.,Ozdemir
Ozdemir,Busra
Job Title
Araştırma Görevlisi
Email Address
busra.ozdemir@atilim.edu.tr
Main Affiliation
Department of Business
Status
Website
ORCID ID
0000 0002 4778 4485
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
1
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ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
1
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
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Scholarly Output

3

Articles

2

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2

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JournalCount
İşletme Araştırmaları Dergisi1
İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi1
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 10th European Conference of Artificial Life, ECAL 2009 -- 13 September 2009 through 16 September 2009 -- Budapest -- 854281
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End date: 2011Subject: Identification

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    Conference Object
    A Local Behavior Identification Algorithm for Generative Network Automata Configurations
    (2011) Özdemir,B.; Kiliç,H.
    Relation between the part and the whole is investigated in the context of complex discrete dynamical systems. For that purpose, an algorithm for local behavior identification from global data described as Generative Network Automata model configurations is developed. It is shown that one can devise a procedure to simulate finite GNA configurations via Automata Networks having static rule-space setting. In practice, the algorithm provides an automated approach to model construction and it can suitably be used in GNA based system modeling effort. © 2011 Springer-Verlag.