Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Durmus Ozkan Sahin"'
Publikováno v:
IEEE Access, Vol 11, Pp 131775-131813 (2023)
In this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-reso
Externí odkaz:
https://doaj.org/article/03487a8a756e4848b97196bf1e81cfa0
Publikováno v:
IEEE Access, Vol 10, Pp 14246-14259 (2022)
In this study, a framework for Android malware detection based on permissions is presented. This framework uses multiple linear regression methods. Application permissions, which are one of the most critical building blocks in the security of the And
Externí odkaz:
https://doaj.org/article/c61d96c96b8947c2872fd65e70c1b1d9
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:1243-1257
Android is the most preferred mobile operating system in the world. Applications are available from both official application repositories and other application stores. For these reasons, there has been a remarkable increase in malware for the Androi
Autor:
Durmus Ozkan Sahin, Erdal Kilic
In this study, the authors give both theoretical and experimental information about text mining, which is one of the natural language processing topics. Three different text mining problems such as news classification, sentiment analysis, and author
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0c4463d288b8b80f5e59942a95d1948
https://doi.org/10.4018/978-1-6684-6303-1.ch037
https://doi.org/10.4018/978-1-6684-6303-1.ch037
Publikováno v:
Neural Computing and Applications. 35:4903-4918
With the developments in mobile and wireless technology, mobile devices have become an important part of our lives. While Android is the leading operating system in market share, it is the platform most targeted by attackers. Although many solutions
Publikováno v:
2021 6th International Conference on Computer Science and Engineering (UBMK).
In this study, the Apk2Img4AndMal framework, which provides information about the application without the need for static or dynamic attributes, is recommended. The proposed framework reads APK files in binary format and converts them to grayscale im
Publikováno v:
Advances in Data Science and Adaptive Analysis. 13
There is a remarkable increase in mobile device usage in recent years. The Android operating system is by far the most preferred open-source mobile operating system around the world. Besides, the Android operating system is preferred in many devices
Autor:
Erdal Kilic, Durmus Ozkan Sahin
Publikováno v:
Automatika, Vol 60, Iss 2, Pp 162-171 (2019)
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije
Volume 60
Issue 2
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije
Volume 60
Issue 2
Sahin, Durmus Ozkan/0000-0002-0831-7825 WOS: 000475484900004 Obtaining meaningful information from data has become the main problem. Hence data mining techniques have gained importance. Text classification is one of the most commonly studied areas of
Skin cancer, which is one of the most common types of cancer in the world, is a malignant growth seen on the skin due to various reasons. There was an increase in the number of the cases of skin cancer nearly 200% between 2004-2009. Since the ozone l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18814a68586711015c0fa2947972c761
https://doi.org/10.4018/978-1-7998-6527-8.ch003
https://doi.org/10.4018/978-1-7998-6527-8.ch003
Publikováno v:
SIU
In this study, applications developed for Android platforms are tested by static analysis based on machine learning. Permissions that have an important place in the security of the Android operating system are used as attributes. Using the regression