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pro vyhledávání: '"MAMMADOV, Toghrul"'
Model compression and hardware acceleration are essential for the resource-efficient deployment of deep neural networks. Modern object detectors have highly interconnected convolutional layers with concatenations. In this work, we study how pruning c
Externí odkaz:
http://arxiv.org/abs/2405.03715
Autor:
Ahmed, Sara Atito Ali, Yavuz, Mehmet Can, Sen, Mehmet Umut, Gulsen, Fatih, Tutar, Onur, Korkmazer, Bora, Samanci, Cesur, Sirolu, Sabri, Hamid, Rauf, Eryurekli, Ali Ergun, Mammadov, Toghrul, Yanikoglu, Berrin
Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detecting COVID-19 infection, combining slice-based (2D) and volume-based (3
Externí odkaz:
http://arxiv.org/abs/2105.08506
Autor:
Ali Ahmed, Sara Atito, Yavuz, Mehmet Can, Şen, Mehmet Umut, Gülşen, Fatih, Tutar, Onur, Korkmazer, Bora, Samancı, Cesur, Şirolu, Sabri, Hamid, Rauf, Eryürekli, Ali Ergun, Mammadov, Toghrul, Yanikoglu, Berrin
Publikováno v:
In Neurocomputing 1 June 2022 488:457-469
Akademický článek
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Autor:
ORS, Husniye, MAMMADOV, Toghrul
Publikováno v:
Volume: 2, Issue: 1 269-280
PressAcademia Procedia
PressAcademia Procedia
Lojistik köyler, dünya ticaretindeki rolleri itibariyle ülke ekonomileri için oldukça büyük getiriler sağlamaktadır. Özellikle küresel ticaretteki yeni trendler göz önünde bulundurulduğunda, küresel lojistik merkez olma, ülke ihracat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::c1ead763c92c66a99ef3e067496dc9f1
https://dergipark.org.tr/tr/pub/pap/issue/25680/270940
https://dergipark.org.tr/tr/pub/pap/issue/25680/270940