Zobrazeno 1 - 10
of 274
pro vyhledávání: '"M. Taner"'
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 3739-3757 (2022)
Abstract Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible
Externí odkaz:
https://doaj.org/article/6588075536134f8e807216f01a3358fd
Autor:
N. Yagmur Diker, Cigdem Kahraman, Esra Kupeli Akkol, M. Taner Karaoglu, Tansel Comoglu, Zeliha S. Akdemir, I. Irem Tatli Cankaya
Publikováno v:
Saudi Pharmaceutical Journal, Vol 27, Iss 3, Pp 432-436 (2019)
Antiviral, antinociceptive and anti-inflammatory activities of the 1% sterile solutions of Ilwensisaponin A and C isolated from the methanolic extract of the flowers of Verbascum pterocalycinum var. mutense Hub.-Mor. were investigated. Antiviral acti
Externí odkaz:
https://doaj.org/article/2416330152fa41eaa93faa53e2bd761b
Autor:
Kemal KIRANŞAN, M. Taner ŞENGÜN
Publikováno v:
Zeitschrift für die Welt der Türken, Vol 9, Iss 2, Pp 165-181 (2017)
Upper shell harden by cooling down during flowing in topograph lava that rised on the Earth with various reasons from the depths of the Earth and interior section that cool down later continue its flowing. İt be called “Lava tube (tunnel)” space
Externí odkaz:
https://doaj.org/article/655548b022644206a528083b8e14d32c
Autor:
Koulali, Imane, Eskil, M. Taner
Publikováno v:
Applied Soft Computing, Volume 113, Part A, 2021, 107913, ISSN 1568-4946
In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It consists of five main steps:
Externí odkaz:
http://arxiv.org/abs/2312.00224
In standard Deep Neural Network (DNN) based classifiers, the general convention is to omit the activation function in the last (output) layer and directly apply the softmax function on the logits to get the probability scores of each class. In this t
Externí odkaz:
http://arxiv.org/abs/2202.07342
Autor:
M. Taner Tarhan, Veli Sevin
Publikováno v:
Belleten, Vol 57, Iss 220, Pp 843-862 (1993)
İstanbul Üniversitesi Edebiyat Fakültesi "Van Bölgesi Tarih ve Arkeoloji Araştırma Merkezi" adına 25.6.1990-14.8.1990 tarihleri arasında sürdürülen kazı çalışmalarına, ikinci başkan olarak Prof. Dr. Veli Sevin, Ar. Gör. (M.A.) Kemal
Externí odkaz:
https://doaj.org/article/f464b588a9e84710955818a22f20055b
Autor:
M. Taner Tarhan, Veli Sevin
Publikováno v:
Belleten, Vol 56, Iss 217, Pp 1081-1100 (1992)
İstanbul Üniversitesi Edebiyat Fakültesi "Van Bölgesi Tarih ve Arkeoloji Araştırma Merkezi" adına 25.6.1990-14.8.1990 tarihleri arasında sürdürülen kazı çalışmalarına, ikinci başkan olarak Prof. Dr. Veli Sevin, Ar. Gör. (M.A.) Kemal
Externí odkaz:
https://doaj.org/article/67fa48b98dc34189b542f2cf695cd821
Deep neural network architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, termed as adversarial samples. In rec
Externí odkaz:
http://arxiv.org/abs/2102.04150
While state-of-the-art Deep Neural Network (DNN) models are considered to be robust to random perturbations, it was shown that these architectures are highly vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These vu
Externí odkaz:
http://arxiv.org/abs/2012.06390
Publikováno v:
In Computers and Electrical Engineering July 2022 101