Zobrazeno 1 - 9
of 9
pro vyhledávání: '"İsa Avcı"'
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 6, Iss 2, Pp 80-90 (2023)
The financial losses of vulnerable and insecure websites are increasing day by day. The proposed system in this research presents a strategy based on factor analysis of website categories and accurate identification of unknown information to classify
Externí odkaz:
https://doaj.org/article/1650131aa6804f8c810fc42caf235d90
Autor:
İsa Avcı, Murat Koca
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4646 (2024)
Intelligent Transportation Systems (ITS) first appeared in 1868 with traffic lights. With developing technology, the need to bring a smart approach to transportation applications within the scope of speed and environmental protection has emerged. Pro
Externí odkaz:
https://doaj.org/article/18a86f5f1e1f4d9999f4e57542a2bce7
Autor:
İsa Avcı, Murat Koca
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4243 (2024)
Transportation has an essential place in societies and importance to people in terms of its social and economic aspects. Innovative rail systems need to be integrated with developing technologies for transportation. Systemic failures, personnel error
Externí odkaz:
https://doaj.org/article/401271abf3ce494486473a548fb7cad2
Publikováno v:
Verimlilik Dergisi, Iss 4, Pp 643-658 (2022)
Amaç: Yapılan çalışmada, raylı ulaşım sistemlerinde kullanılan bakım yöntemlerini verimlilik açısından değerlendirebilmek için literatürdeki çalışmalar, raylı sistemler verimlilik hesaplama kriterleri incelenerek çok kriterli ka
Externí odkaz:
https://doaj.org/article/49f0274d286946729e80d89b4761d052
Autor:
Cevat Özarpa, İsa Avcı
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 10, Iss 4, Pp 2120-2132 (2022)
The automotive industry in smart factories is constantly developing depending on technology. Depending on the developing technology, security problems come to the fore. Industry 4.0 and cyber security are widely used in automotive sector applications
Externí odkaz:
https://doaj.org/article/1beaaef3420147f2b04f4b6160120c56
Autor:
İsa Avcı, Ahmed Alzabaq
Publikováno v:
Traitement du Signal. 40:145-155
Convolutional Neural Network (CNN)-based deep learning techniques have recently demonstrated increased potential and effectiveness in image recognition applications, such as those involving medical images. Deep-learning models can recognize targets w
Autor:
Murat Koca, Isa Avci
Publikováno v:
IEEE Access, Vol 12, Pp 143343-143351 (2024)
In this study, we address critical security vulnerabilities in Industrial Control Systems (ICS) and the Internet of Things (IoT) by focusing on enhancing collaboration and communication among interconnected devices. Recognizing the inherent risks and
Externí odkaz:
https://doaj.org/article/e62b3e5841eb45dbac9a10a913aa8fbc
Autor:
İsa Avci, Mehmet Yildirim
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 1, Pp 17-23 (2023)
The weapon target problem is a combinatorial optimization problem. It aims to have the weapons on target properly assigned for the intended purposes. When focused on its target, it does things with its effective attack research in mind. It is an ongo
Externí odkaz:
https://doaj.org/article/d7f35882c8284b15b7a34c5009cf8e78
Autor:
İsa Avci, Michael Bidollahkhani
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 1, Pp 318-323 (2023)
The multiplicity of design, construction, and use of IoT devices in homes has made it crucial to provide secure and manageable building management systems and platforms. Increasing security requires increasing the complexity of the user interface and
Externí odkaz:
https://doaj.org/article/6e679a3e9d8142589387f912085b36ef