Ekin, Cansu Çiğdem

Ekin, Cansu Çiğdem

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

ORCID ID

0000-0003-4838-9708

Full item page

Scholarly Output

40

Articles

21

Citation Count

307

Supervised Theses

3 Scholarly Output Search Results

Now showing 1 - 10 of 40

Citation Count: 0
AI-Driven Drought Management System: A Turkish Case Study
(Institute of Electrical and Electronics Engineers Inc., 2023) Sabamehr,M.; Ekin,C.C.; Computer Engineering
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.
Citation Count: 27
The DEA - FUZZY ANP Department Ranking Model Applied in Iran Amirkabir University
(Budapest Tech, 2010) Rouyendegh, Babak Daneshvar; Erol, Serpil; Computer Engineering
Proposed in this study is a hybrid model for supporting the department selection process within Iran Amirkabir University. This research is a two-stage model designed to fully rank the organizational departments where each department has multiple inputs and outputs. First, the department evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, the pair-wise evaluation matrix generated in the first stage is utilized to fully rank-scale the units via the Fuzzy Analytical Network Process (FANP). The FANP method adopted here uses triangular fuzzy numbers. ANP equipped with fuzzy logic helps in overcoming the impreciseness in the preferences. DEA-FANP ranking does not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all departments, efficient and inefficient.
Citation Count: 16
Design and development of a smart storytelling toy
(Routledge Journals, Taylor & Francis Ltd, 2014) Kara, Nuri; Aydin, Cansu Cigdem; Cagiltay, Kursat; Computer Engineering
Because computers generally make children passive listeners, new technological devices need to support children's storytelling activities. This article introduces the StoryTech, a smart toy that includes a virtual space comprised of computer-based graphics and characters as well as a real space that involves stuffed animals, background cards and a receiver panel. When children put real objects on the receiver panel, the computer displays related backgrounds and characters. Through this flexible context, children are expected to tell a story about what they see on the screen. The aim of this article is to present the development period of the StoryTech and to provide design principles for smart toy technologies based on the usability study. The article focuses on attributes of new technology and the significance of supporting storytelling activities to find the best combination of and moderation between real and virtual spaces.
Citation Count: 0
Deep Learning and Current Trends in Machine Learning
(Ieee, 2018) Bostan, Atila; Sengul, Gokhan; Tirkes, Guzin; Ekin, Cansu; Karakaya, Murat; Computer Engineering
Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain.
Citation Count: 63
An Application of the Fuzzy ELECTRE Method for Academic Staff Selection
(Wiley, 2013) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
There are various methods regarding staff selection in different fields. Thanks to the increasing improvements in the field of education, universities around the world tend to demand high -quality and professional academic staff. Staff selection is a multi-criteria decision-making processes, and of strategic importance for most universities. This study deals with actual application of academic of staff selection using the opinion of experts to be applied into a model of group decision - making called the Fuzzy ELECTRE (Elimination Et Choix Traduisant la REaite) method. There are ten qualitative criteria for selecting the best candidate amongst five prospective applications. (c) 2012 Wiley Periodicals, Inc.
Citation Count: 5
Usability study of a smart toy on students with intellectual disabilities
(Elsevier, 2018) Ekin, Cansu Cigdem; Cagiltay, Kursat; Karasu, Necdet; Computer Engineering
This paper introduces a smart toy (SmartAnimals) which provides a mixed reality environment for children with intellectual disabilities. SmartAnimals includes a virtual space including computer based animations, sounds and characters, and a real space including plastic toys, and a receiver panel. SmartAnimals with a flexible context leads children to learn daily life concepts easily. To test usability of SmartAnimals, an empirical study was carried out with 6 children having intellectual disability (ID) and four special education teachers. The findings indicated that smart toys could be beneficial for children with ID especially who have limited concentration. It enables children with easy and fast learning. Smart toys also affect children's performance in a positive way while learning cognitive concepts.
Citation Count: 1
Bibliometric Analysis of Game-Based Researches in Educational Research
(int Soc Technology Education & Science-istes, 2022) Ekin, Cansu Cigdem; Gul, Abdulmenaf; Computer Engineering
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.
Citation Count: 26
Investigating the Activities of Children toward a Smart Storytelling Toy
(Natl Yunlin Univ Science & Technology, Taiwan, 2013) Kara, Nuri; Aydin, Cansu Cigdem; Cagiltay, Kursat; Computer Engineering
This paper introduces StoryTech, a smart storytelling toy that features a virtual space, which includes computer-based graphics and characters, and a real space, which includes plush toys, background cards, and a communication interface. When children put real objects on the receiver panel, the computer program shows related backgrounds and characters on the screen. StoryTech encourages children to produce their own stories. Empirical research with a total of 90 children indicated that StoryTech contributed to narrative activities of children and made a positive impact on their creativity. The paper also focuses on the attributes, design, and development process of StoryTech.
Citation Count: 0
Selection of ERP System Using QFD Approach: A Pilot Study From Turkey
(Acad Conferences Ltd, 2012) Ictenbas, Burcu Devrim; Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
Today companies face the challenge of increasing competition, expanding markets and rising competition. Many organizations seek to improve their competitiveness by utilizing advanced information technology, such as Enterprise Resource Planning (ERP) systems. Selection of appropriate ERP system is a vital decision for any enterprise in this intense competitive environment. The selection process is complicated since complexity of ERP systems and too many alternatives. Requirements analysis of a software system like ERP is often considered to be one of the most important steps in the software selection process. Quality Function Deployment (QFD) is a methodology to translate customer requirements into the final product or service characteristics. In spite of successful applications of QFD in familiar fields such as product planning, education quality and service quality, the usability of QFD in the selection of software systems have been seen in only few studies. The purpose of the study is to determinethe most important technical attributes of the ERP systems from the end - users' perspective using QFD methodology. The developed framework integrates ERP characteristics obtained from vendors in the market and the list of customer requirements by taking into account the company profile and strategic selection criteria. The solution proposed in this study will support decision makers to manage the early stages of ERP selection according the company's needs.
Citation Count: 2
An Undergraduate Curriculum for Deep Learning
(Institute of Electrical and Electronics Engineers Inc., 2018) Tirkes,G.; Ekin,C.C.; Engul,G.; Bostan,A.; Karakaya,M.; Computer Engineering
Deep Learning (DL) is an interesting and rapidly developing field of research which has been currently utilized as a part of industry and in many disciplines to address a wide range of problems, from image classification, computer vision, video games, bioinformatics, and handwriting recognition to machine translation. The starting point of this study is the recognition of a big gap between the sector need of specialists in DL technology and the lack of sufficient education provided by the universities. Higher education institutions are the best environment to provide this expertise to the students. However, currently most universities do not provide specifically designed DL courses to their students. Thus, the main objective of this study is to design a novel curriculum including two courses to facilitate teaching and learning of DL topic. The proposed curriculum will enable students to solve real-world problems by applying DL approaches and gain necessary background to adapt their knowledge to more advanced, industry-specific fields. © 2018 IEEE.

Ekin, Cansu Çiğdem

Name Variants

Job Title

Email Address

ORCID ID

Scopus Author ID

Turkish CoHE Profile ID

Google Scholar ID

WoS Researcher ID

Scholarly Output

40

Articles

21

Citation Count

307

Supervised Theses

3

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Scholarly Output Search Results