Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ahmet Ali SÜZEN"'
Autor:
Kubilay Taşdelen, Ahmet Ali Süzen
Publikováno v:
Tehnički Vjesnik, Vol 29, Iss 5, Pp 1714-1720 (2022)
In this study, a piece of software has been developed to recover the readable data by carving MS Word and PDF files from the RAM image. String searching, signature scanning, and data carving methods are used in the design of the software. The analysi
Externí odkaz:
https://doaj.org/article/b37cdd6fda8b42a1ad0444e97639d0dd
Autor:
Burhan Duman, Ahmet Ali Süzen
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 4, Iss 2, Pp 204-215 (2021)
Recently, serious damages have occurred in e-commerce applications due to rapidly increasing data leaks and end-user vulnerabilities. Although the source of the vulnerabilities is different, attacks result in the theft of unsafe data. In particular,
Externí odkaz:
https://doaj.org/article/28cc72bd533e44b298509c514c3f763f
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 2, Pp 426-432 (2021)
In this study, a new machine learning approach has been proposed to predict the rebound causing loss of material in shotcrete using the ensemble learning method. In shotcrete application, the amount of rebound material was obtained for use in a datas
Externí odkaz:
https://doaj.org/article/9f50753fbd2f41c9bbe2aa70cc64a23b
Autor:
Ahmet Ali SÜZEN, Mehmet Ali ŞİMŞEK
Publikováno v:
Namık Kemal Tıp Dergisi, Vol 8, Iss 1, Pp 22-30 (2020)
Aim:Today, data banks contain unpredictable data. Together with the advances in data science, large data offer the potential to better understand the causes of diseases. This potential results from the processing, analysis or modeling of machine lear
Externí odkaz:
https://doaj.org/article/ffd93cd7ca63492988dcc6165056a26f
Autor:
Burhan Duman, Ahmet Ali Süzen
Publikováno v:
International Journal of Advanced Networking and Applications. 14:5385-5389
Deep learning techniques are becoming more and more common in computer vision applications in different fields, such as object recognition, classification, and segmentation. In the study, a classification application was made for flower species detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b964e1ba6d7e7a989f6e3962ae918ec
https://doi.org/10.35444/ijana.2022.14209
https://doi.org/10.35444/ijana.2022.14209
Autor:
Ahmet Ali SÜZEN
Publikováno v:
International Journal of 3D Printing Technologies and Digital Industry.
The widespread use of the Internet and the increase in Internet of Things (IoT) equipment paved the way for the development of user-friendly systems. The inclusion of many electronic systems in the IoT ecosystem, especially in homes, has improved rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fe45db499424fa6ab6d5f1e3bf491d9
https://doi.org/10.46519/ij3dptdi.1240743
https://doi.org/10.46519/ij3dptdi.1240743
Autor:
Ahmet Ali Süzen
Publikováno v:
4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ISBN: 9783031319556
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf3bfd6884d1ca3d658ac286629e187f
https://doi.org/10.1007/978-3-031-31956-3_10
https://doi.org/10.1007/978-3-031-31956-3_10
Autor:
Ahmet Ali Süzen, Burhan Duman
Publikováno v:
Volume: 4, Issue: 2 204-215
Sakarya University Journal of Computer and Information Sciences
Sakarya University Journal of Computer and Information Sciences
Recently, serious damages have occurred in e-commerce applications due to rapidly increasing data leaks and end-user vulnerabilities. Although the source of the vulnerabilities is different, attacks result in the theft of unsafe data. In particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e33a48fb4c8faa193eea4d16b2800a53
https://doi.org/10.35377/saucis.04.02.895764
https://doi.org/10.35377/saucis.04.02.895764
Publikováno v:
Arabian Journal for Science and Engineering. 46:10613-10630
In this study, the effects of reinforcement using polypropylene fiber dry-mix shotcrete on the behaviors of U-shaped masonry walls were experimentally studied, and predicting modeling was performed with XGBoost. Firstly, five full-scale masonry speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a982adbbf8f31e274720f20f9b9c69
https://doi.org/10.1007/s13369-021-05466-1
https://doi.org/10.1007/s13369-021-05466-1
Autor:
Ahmet Ali Süzen
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:1913-1923
In this study, a hybrid deep belief network (DBN) cyber intrusion detection system was proposed to provide a secure network by controlling network traffic in Industrial control systems (ICS). The disadvantages of DBN have been analyzed and improved t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc47a22be3d0c8b62bca8b3337db0b22
https://doi.org/10.1007/s12652-020-02271-w
https://doi.org/10.1007/s12652-020-02271-w