MEF GCRIS Premium Database

The scientific memory of MEF University. Publications, projects, and researchers—all in one place. The heart of open science beats here. 'Open Science. Visible Impact.'

Scholarly Output
2247
Organisations
23
Current Researchers
210
Projects
116

Most Viewed Publications

Human Semantic Parsing for Person Re-Identification
Gökmen, Muhittin
656
Conference Object
7534
Psikanalitik Kuram: Sigmund Freud
Öztemur, Gizem
Book Part
4272
Arıkanlı Holding'in Kurucusu İbrahim Arıkan Hayatını Kaybetti [habertürk Gazetesi]
Other
2052
Mindfulness: Şimdi ve Burada Bilinçli Farkındalık
Atalay, Zümra
Book
1612
Adi Konkordatoda Çekişmeli Alacaklar Hakkında Dava (iik M. 308/b)
Yazıcı, Çiğdem
Article
1375

Most Downloaded Publications

Kütüphaneler için Sosyal Medya Politikası
Biçen Aras, Bahar
Report
61485
Emg-Based Bci for Picar Mobilization
Arslan, Şefik Şuayb, Çakar, Tuna
3
Conference Object
41022
Arıkanlı Holding'in Kurucusu İbrahim Arıkan Hayatını Kaybetti [habertürk Gazetesi]
Other
37290
İşadamı İbrahim Arıkan Hayatını Kaybetti
Other
36699
İşadamı İbrahim Arıkan Yaşamını Yitirdi
Other
31442

Recent Submitted Publications

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Weak Label Supervision for Monaural Source Separation Using Non-Negative Denoising Variational Autoencoders
(IEEE, 2019) Karamatli, Ertug; Kirbiz, Serap; Cemgil, Ali Taylan
Deep learning models are very effective in source separation when there are large amounts of labeled data available. However it is not always possible to have carefully labeled datasets. In this paper, we propose a weak supervision method that only uses class information rather than source signals for learning to separate short utterance mixtures. We associate a variational autoencoder (VAE) with each class within a non-negative model. We demonstrate that deep convolutional VAEs provide a prior model to identify complex signals in a sound mixture without having access to any source signal. We show that the separation results are on par with source signal supervision.
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Article
Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework
(Springer, 2024) Bilgel, Fırat; Karahasan, Burhan Can
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Conference Object
Yüz Derinlik Imgelerinde Güdümlü İniş Yöntemini Kullanarak Nirengi Noktası Bulma
(Institute of Electrical and Electronics Engineers Inc., 2015) Akarun, Lale; Camgöz, Necati Cihan; Gökberk, Berk
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Conference Object
Turkish Broadcast News Transcription Revisited
(Institute of Electrical and Electronics Engineers Inc., 2018) Arisoy, Ebru; Saraglar, Murat
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Article
Türkiye'nin Döngüsel Ekonomiye Geçiş Performansı Üzerine Karşılaştırmalı bir Analiz
(2024) Asfuroglu, Dila
This study aims to demonstrate Turkey's performance on the transition to the circular economy by comparing it with selected developed and developing economies. The quantitative analysis is conducted with the data collected from Eurostat and the OECD.Stat over the period 2000– 2022, for the selected developed economies, namely, Germany, Sweden, and the United Kingdom, and the selected developing economies, namely, Hungary, Bulgaria, Albania, and Serbia. According to the results, Turkey's resource productivity has increased over the years, with the most effective increases observed since 2017. The relatively low domestic material consumption and material footprint indicate low demand and consumption overall. The increase in total waste per capita with a decrease in municipal waste per capita shows that Turkey's household waste generation is low, but waste generation per person is high. The most frequently used waste treatment has been disposal for ma ny years, yet recycling has accelerated since 2016. The increase in the recycling rate of municipal waste, according to the data that is available for the last five years, is a positive development. Import dependency has not decreased over the years, although it is at lower levels compared to developed countries. In recent years, dependency on all raw materials has been declining, while dependency on metal ores and fossil energy has been very high. Finally, greenhouse gas emissions have increased significantly over the years, making this indicator Turkey's worst for the transition to a circular economy. Since the existing literature has mostly covered European Union (EU) countries and the research on Turkey is generally about creating a theoretical framework, this study fills the gap in the literature. Through country comparisons, this paper also facilitates understanding how far Turkey, as a candidate country for EU membership, is from the EU's circular economy targets and whether or not Turkey has made progress in adopting circular economy and related policies, and provides policy recommendations to policymakers to improve Turkey's performance in the circular economy.