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Institution

Yaşar University

EducationIzmir, Turkey
About: Yaşar University is a education organization based out in Izmir, Turkey. It is known for research contribution in the topics: Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publications receiving 20813 citations. The organization is also known as: Yaşar Üniversitesi.


Papers
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Journal ArticleDOI
TL;DR: In this article, a comprehensive review of solar exergy analysis is presented, which is based on the relative potential of the maximum energy available from radiation for various solar energy-related applications and is also a link between exergy and sustainable development.
Abstract: Energy resources and their utilization intimately relate to sustainable development. In attaining sustainable development, increasing the energy efficiencies of processes utilizing sustainable energy resources plays an important role. The utilization of renewable energy offers a wide range of exceptional benefits. There is also a link between exergy and sustainable development. Exergy analysis has been widely used in the design, simulation, and performance evaluation of various energy systems as well as renewable energy sources. In this regard, determination of exergy of solar radiation is very crucial for various solar energy-related applications and is based on the relative potential of the maximum energy available from radiation. The efficiency factor limiting the gain of the maximum useful energy from the solar radiation is significantly similar to that of the Carnot efficiency for the heat engines. The main objectives of this study are two-fold, namely, (i) to comprehensively review various solar exe...

14 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the process and outcome of using learner-centred methods to develop students' empathic design abilities during an educational workshop on inclusive design, and suggest the significance of incorporating inclusive design within the education of design disciplines.
Abstract: This paper explores the process and outcome of using learner-centred methods to develop students’ empathic design abilities during an educational workshop on inclusive design. In the first section of the paper, we suggest the significance of incorporating inclusive design within the education of design disciplines. Then, we introduce a workshop on inclusive design awareness that architecture and interior design students participated, which applied various learner-centred methods. We discuss the process that incorporated project-based learning, role-playing/simulation and students’ reflections and feedback on their experience. The workshop process, the student project experience and students’ reflections on their learning indicate how multiple methods of learning engage students and enhance their empathic understanding so they can embrace differences and adopt a user-centred design approach. Based on the findings, we provide suggestions for similar educational events that can be applied in other di...

14 citations

Journal ArticleDOI
03 Feb 2019
TL;DR: The Hotels and Highways: The Construction of Modernization Theory in Cold War Turkey as mentioned in this paper is an excellent book about modernization theory in Turkey that resonates with the concerns of architectural historians and theorists.
Abstract: The title of Begum Adalet’s book Hotels and Highways: The Construction of Modernization Theory in Cold War Turkey clearly resonates with the concerns of architectural historians and theorists. Yet ...

14 citations

Journal ArticleDOI
TL;DR: How MUZO can cope with an enormous number of parameters to optimise the entire design of high-rise buildings using three algorithms with an adaptive penalty function is presented.

14 citations

Proceedings ArticleDOI
01 Oct 2019
TL;DR: In this study, ECG arrhythmia types of non-ectopic (N), ventricular ectopic (V), unknown (Q), supraventricular ectopy (S) and fusion (F) were classified by using the convolutional neural network (CNN) architecture to increase the positive predictive value (PPV) rates of the classes which consist of a few instances.
Abstract: In this study, ECG arrhythmia types of non-ectopic (N), ventricular ectopic (V), unknown (Q), supraventricular ectopic (S) and fusion (F) were classified by using the convolutional neural network (CNN) architecture. QRS detection was performed on these ECG arrhythmias that downloaded from MIT-BIH database. An imbalanced number of beats was obtained for 5 different arrhythmia types. In order to reduce the effect of imbalance in statistical performance metrics, data mining techniques, such as recall of data, were applied. It was aimed to increase the positive predictive value (PPV) rates of the classes which consist of a few instances.

14 citations


Authors

Showing all 808 results

NameH-indexPapersCitations
Arif Hepbasli6736515612
Quan-Ke Pan6228112128
M. Fatih Tasgetiren281154506
Erinç Yeldan25802218
Kaizhou Gao24912225
Musa H. Asyali20541554
T. Hikmet Karakoc201111359
Ahmet Alkan20761854
Banu Yetkin Ekren19601751
Cuneyt Guzelis181191609
Bekir Karlik18431466
Murat Bengisu18471008
Yigit Kazancoglu171071082
Derya Güngör1630719
Mangey Ram161681149
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202250
2021187
2020189
2019158
2018114