Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Fikret Sivrikaya"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 692-710 (2024)
The progress towards fully autonomous mobility is significantly impacted by the integration of evolving technologies in connected and automated mobility (CAM). Connected and automated vehicles (CAVs) have the potential to revolutionize our transporta
Externí odkaz:
https://doaj.org/article/4dd31177f1de40ee8d96b97a5c549be7
Autor:
Benjamin Acar, Martin Berger, Marc Guerreiro Augusto, Tobias Kuster, Fikret Sivrikaya, Sahin Albayrak
Publikováno v:
IEEE Access, Vol 12, Pp 102440-102448 (2024)
The efficient processing of information plays a critical role in data-driven domains. Data acquisition pipelines, which act as the interface between data collection and subsequent processing, are central to this. Traditional software engineering meth
Externí odkaz:
https://doaj.org/article/1cd82e55548541c4bd0813b3c203888c
Autor:
Marc Guerreiro Augusto, Benjamin Acar, Andrea Carolina Soto, Fikret Sivrikaya, Sahin Albayrak
Publikováno v:
Autonomous Intelligent Systems, Vol 4, Iss 1, Pp 1-11 (2024)
Abstract The future of driving is autonomous. It requires a comprehensive stack of embedded software components, enabled by open-source and proprietary platforms at different abstraction layers, and then operating within a larger ecosystem. Autonomou
Externí odkaz:
https://doaj.org/article/e742a6ba63b54409b57bd3dc55da864f
Autor:
Pedram Babakhani, Andreas Lommatzsch, Torben Brodt, Doreen Sacker, Fikret Sivrikaya, Sahin Albayrak
Publikováno v:
IEEE Access, Vol 12, Pp 66085-66099 (2024)
This paper presents a comprehensive study on generating subjective inquiries for news media posts to empower public engagement with trending media topics. While previous studies primarily focused on factual and objective questions with explicit or im
Externí odkaz:
https://doaj.org/article/0fbc3111e8bd4d0db4747b36ae75e62b
Autor:
Benjamin Acar, Tobias Kuster, Oskar F. Kupke, Robert K. Strehlow, Marc Guerreiro Augusto, Fikret Sivrikaya, Sahin Albayrak
Publikováno v:
IEEE Access, Vol 12, Pp 10012-10022 (2024)
While multi-agent frameworks can provide many advanced features, they often suffer from not being able to seamlessly interact with the outside world, e.g., with web-services or other multi-agent frameworks. This may be one factor that hinders a broad
Externí odkaz:
https://doaj.org/article/a2c664b4bc25444bb364abec7cb1482d
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 800-814 (2023)
The application of containerization technology has seen a significant increase in popularity in recent years, both in the business and scientific sectors. In particular, the ability to create portable applications that can be deployed on different ma
Externí odkaz:
https://doaj.org/article/ce40d83b65ba4277b47b855098e19cd7
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 3, Pp 830-846 (2022)
Multicast communication over wireless networks has many potential applications, such as real-time audiovisual content distribution or digital signage systems with multiple remote terminals. However, today’s common 802.11 networks cannot fully suppo
Externí odkaz:
https://doaj.org/article/7ecb8ca4414c44a08ca2e81c6a9af555
Publikováno v:
IEEE Access, Vol 8, Pp 141234-141245 (2020)
Power system frequency plays a pivotal role in ensuring the security, adequacy, and integrity of a power system. While some frequency response services are automatically delivered to maintain the frequency within the stipulated limits, certain cases
Externí odkaz:
https://doaj.org/article/ec0d9bb78ca040b3a8f30aac172abe9d
Publikováno v:
IEEE Access, Vol 7, Pp 14434-14454 (2019)
Smart cities generally aim at efficiently organizing and managing city resources through a digital layer on top of the legacy infrastructure. As the digitalization trend goes on with an increasing pace and with the involvement of a diverse set of act
Externí odkaz:
https://doaj.org/article/ee57f77681114383828a30bbc93f23be
Publikováno v:
Mathematics, Vol 9, Iss 13, p 1523 (2021)
This paper addresses the problem of predicting time series data using the autoregressive integrated moving average (ARIMA) model in an online manner. Existing algorithms require model selection, which is time consuming and unsuitable for the setting
Externí odkaz:
https://doaj.org/article/266d2e3997a74cd3b1eb3b375738ad4b