Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Erdal AKSOY"'
Autor:
Erdal Aksoy
Publikováno v:
Türk Kültürü ve Hacı Bektaş Velî Araştırma Dergisi, Iss 86 (2018)
The Turkification/Islamization of Balkanic region took place through Turkish dervishes and tribes/ communities associated with them. The sheikhs and dervishes settled in various parts of this region and tried to convey the massage of Islam through
Externí odkaz:
https://doaj.org/article/c52d20e769524fdd97d3102d2f383d26
Publikováno v:
Türk Kültürü ve Hacı Bektaş Velî Araştırma Dergisi, Iss 85 (2018)
Whether Turkish population can be defined as a “ethnic minority” or “diaspora” on the basis of how to define Turkish existence in Europe has recently been an issue of discussion. The cultural and political position of of the Alevi community
Externí odkaz:
https://doaj.org/article/f41cfe6c1c0b4786876323057adb29e2
Autor:
Nadine Schlichting, Atser Damsma, Eren Erdal Aksoy, Mirko Wächter, Tamim Asfour, Hedderik van Rijn
Publikováno v:
Journal of Cognition, Vol 1, Iss 1 (2018)
Timing is key to accurate performance, for example when learning a new complex sequence by mimicry. However, most timing research utilizes artificial tasks and simple stimuli with clearly marked onset and offset cues. Here we address the question whe
Externí odkaz:
https://doaj.org/article/c276d8d398184f079376c27d800414bc
Publikováno v:
Sensors, Vol 19, Iss 16, p 3474 (2019)
Rehabilitation and mobility training of post-stroke patients is crucial for their functional recovery. While traditional methods can still help patients, new rehabilitation and mobility training methods are necessary to facilitate better recovery at
Externí odkaz:
https://doaj.org/article/74508efb846d47b7a98aa5c41210b2a5
Autor:
Sławomir Nowaczyk, Andrea Resmini, Vicky Long, Vaike Fors, Martin Cooney, Eduardo K. Duarte, Sarah Pink, Eren Erdal Aksoy, Alexey Vinel, Mark Dougherty
Smart Cities have been around as a concept for quite some time. However, most examples of Smart Cities (SCs) originate from megacities (MCs), despite the fact that most people live in Small and Medium-sized Cities (SMCs). This paper addresses the con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf0dcd47813cb18c4ac32eda02737844
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-47260
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-47260
Publikováno v:
Sensors, Vol 9, Iss 11, Pp 9355-9379 (2009)
Model-free tracking is important for solving tasks such as moving-object tracking and action recognition in cases where no prior object knowledge is available. For this purpose, we extend the concept of spatially synchronous dynamics in spin-lattice
Externí odkaz:
https://doaj.org/article/498c489b186a44768dd6a32f1e05cb8c
Autor:
Nesma M. Rezk, Tomas Nordström, Dimitrios Stathis, Zain Ul-Abdin, Eren Erdal Aksoy, Ahmed Hemani
Publikováno v:
Journal of Systems Architecture. 133:102778
The compression of deep learning models is of fundamental importance in deploying such models to edge devices. The selection of compression parameters can be automated to meet changes in the hardware platform and application. This article introduces
In this work, we present a simple yet effective framework to address the domain translation problem between different sensor modalities with unique data formats. By relying only on the semantics of the scene, our modular generative framework can, for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46cc9381455d9bbce98c9c2533106225
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45850
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45850
In this paper, we introduce SalsaNext for the uncertainty-aware semantic segmentation of a full 3D LiDAR point cloud in real-time. SalsaNext is the next version of SalsaNet which has an encoder-decoder architecture where the encoder unit has a set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7f46a0101bdf8ce8516aae9123583d2
http://arxiv.org/abs/2003.03653
http://arxiv.org/abs/2003.03653
Publikováno v:
Advances in Visual Computing ISBN: 9783030645588
ISVC (2)
ISVC (2)
In this paper, we introduce SalsaNext for the uncertainty-aware semantic segmentation of a full 3D LiDAR point cloud in real-time. SalsaNext is the next version of SalsaNet [1] which has an encoder-decoder architecture where the encoder unit has a se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f086f7dfad43be028a61eb581c8bd31
https://doi.org/10.1007/978-3-030-64559-5_16
https://doi.org/10.1007/978-3-030-64559-5_16