Ekin, Cansu Çiğdem

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/6950
Name Variants
Aydin, Cansu Cigdem
Cansu Cigdem, Ekin
E.,Cansu Çiğdem
Aydin C.
Ekin, Cansu Cigdem
Ekin, Cansu
Aydin, C. C.
E., Cansu Çiğdem
C. C. Ekin
E., Cansu Cigdem
C.C.Ekin
C.Ç.Ekin
C., Ekin
Ekin, Cansu Çiğdem
C. Ç. Ekin
E.,Cansu Cigdem
Ekin, Cansu C.
Ekin,C.C.
Cansu Çiğdem, Ekin
C.,Ekin
Ekin,C.Ç.
Ekin C.
Aydın, Cansu Ciğdem
Rouyendegh, Babak Daneshvar
Rouyendegh (B Erdebilli), Babak Daneshvar
Job Title
Doçent Doktor
Email Address
cansu.aydin@atilim.edu.tr
Main Affiliation
Computer Engineering
Status
Website
ORCID ID
0000-0003-4838-9708
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
AFE-7836-2022

Sustainable Development Goals

NO POVERTY1
NO POVERTY
1
Research Products
ZERO HUNGER2
ZERO HUNGER
2
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
2
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QUALITY EDUCATION4
QUALITY EDUCATION
8
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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
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
1
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
1
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
Documents

16

Citations

167

Go to WoS profile
Scholarly Output

43

Articles

23

Views / Downloads

181/686

Supervised MSc Theses

5

Supervised PhD Theses

0

WoS Citation Count

565

Scopus Citation Count

652

Patents

0

Projects

0

WoS Citations per Publication

13.14

Scopus Citations per Publication

15.16

Open Access Source

8

Supervised Theses

5

JournalCount
Tehnicki Vjesnik4
3rd International Conference on Information Management and Evaluation (ICIME) -- APR 16-17, 2012 -- Atilim Univ, Performance Management & Applicat Res Ctr, Ankara, TURKEY3
Journal of Applied Mathematics2
Journal of Systems Architecture2
UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 1435602
Current Page: 1 / 6

Scopus Quartile Distribution

Competency Cloud

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Start date: 2020Has files: false

Scholarly Output Search Results

Now showing 1 - 4 of 4
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    Master Thesis
    Yapay Zeka Tabanlı Kuraklık Yönetim Sisteminin Geliştirilmesi: Türkiye İçin Bir Vaka Çalışması
    (2024) Sabamehr, Mılad; Ekin, Cansu Çiğdem
    Sanayi büyümesi ve kirlilik nedeniyle gelişmiş ülkeler için kuraklık ciddi bir sorun haline gelmektedir. Bu sorunun üstesinden gelmek için yenilikçi yaklaşımlara ihtiyaç vardır, bunlardan biri de yapay zeka (AI) gibi teknolojilerdir. Bu çalışma, bir veri yönetim sistemi, tahmin sistemi ve PDSI ve SPI hesaplama sistemi içeren bir AI tabanlı kuraklık yönetim sistemini tanıtmaktadır. Veri yönetim sistemi, kullanıcıların Türkiye'nin çeşitli bölgelerinden tarımsal verileri analiz etmelerine olanak tanır. Tahmin sistemi, yağış ve sıcaklık tahmin etmek için SARIMA, ARIMA ve Prophet algoritmalarını kullanır. En iyi performans gösteren algoritma, hata oranlarına göre seçilir, böylece doğru tahminler yapılır. Bu tahminler daha sonra veri yönetim sisteminde saklanır. Yapay zeka tarafından oluşturulan verilerden yararlanarak, PDSI ve SPI hesaplama sistemi bir sonraki iki yıl için PDSI ve SPI tahmin eder. Ayrıca, sistem beklenen hava koşullarını PDSI ve SPI tahminleri ile karşılaştırarak belirli bölgelerde tarımsal ürün yetiştirme riskini değerlendirir. Sonuçlar, ARIMA'nın sıcaklık ortalamalarını tahmin etmek için en uygun olduğunu, SARIMA'nın ise yağışı tahmin etmek için en iyi performansı gösterdiğini göstermektedir. 2024'te Şanlıurfa ilinde Buğday ürünleri için PDSI'nin %91 risk seviyesi ve SPI-3'ün %75 risk seviyesi olduğunu göstermektedir.
  • Thumbnail Image
    Article
    Citation - WoS: 9
    Bibliometric Analysis of Game-Based Researches in Educational Research
    (int Soc Technology Education & Science-istes, 2022) Ekin, Cansu Cigdem; Gul, Abdulmenaf
    This research aims to conduct a bibliometric study to describe how game-based educational research is structured and how it has evolved over time. For this purpose, bibliometric analysis has been used to analyze 4980 publications indexed by the Elsevier SCOPUS database between 1967 and May 2021. The related publications were evaluated by analyzing co-authorship, co-occurrence, and citation by considering author, keyword, country, journal, university, and publication variables. As a result of the bibliometric analysis, it was concluded that the United States was leading the field and significantly publishing more studies. Top performing organizations were in Taiwan and the United States. According to the keyword co-occurrence analysis, "game-based learning" was the most used keyword followed by "serious games" and "gamification". Co-authorship status results show that collaboration between researchers in the field was not high and the number of researchers in co-author groups was small. It was found that the most influential research was related to literature review on games and the effectiveness of games on motivation or learning and Computers & Education was the most published and cited journal in game-based educational research.
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    Conference Object
    Citation - Scopus: 2
    AI-Driven Drought Management System: A Turkish Case Study
    (Institute of Electrical and Electronics Engineers Inc., 2023) Sabamehr,M.; Ekin,C.C.
    Nowadays, drought is one of the trending topics in the world that has turned into a challenge for the world. By developing countries and cities worldwide, especially in the economic aspect, governments started to damage the environment such as through the use of fossil fuels, pollution of the seas, unregulated use of fresh water also deforestation for personal purposes. The presented research aims to change the format of drought mitigation strategies from traditional ways into the up to date treats. Leveraging AI technologies, including machine learning algorithms and data analytics, a comprehensive AI-driven drought management system is designed and implemented. In this system, inconsistent data have been obtained from the Ministry of Agriculture and Forestry organization and transformed into insightful data and analyzed in real-Time style to provide the status of agricultural products in Turkey. This research contributes to the fields of environmental science and agriculture by innovatively augmenting traditional approaches with AI-driven solutions. Ultimately, our research offers a means to monitor weather conditions in different regions of Turkey, moving beyond manual drought prediction and guesswork that were prevalent in previous systems. Additionally, it facilitates the evaluation of vegetation health by considering precipitation and temperature averages in each area. © 2023 IEEE.
  • Thumbnail Image
    Conference Object
    Contemporary Research Trends in Mobile Learning
    (Springer Science and Business Media Deutschland GmbH, 2024) Ekin,C.C.; Algabsi,S.E.
    This study attempts to conduct a bibliometric analysis of the structure and development of mobile learning research. For this, 7829 publications included in the Elsevier SCOPUS database between 1984 and 2021 were examined using bibliometric analysis by identifying key research areas, most influential authors, co-authorship status of countries, and organizations. As a result of this study, most topics related to mobile learning were Computer Science. “Mobile Learning” was the most used keyword followed by “e-learning” and “higher education”. Top performing organizations were in Taiwan. Taiwan was the major contributor in m-learning publications’ co-citation with other co-authorship countries. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.