Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Yusuf Yaslan"'
Publikováno v:
Journal of Universal Computer Science, Vol 29, Iss 5, Pp 470-490 (2023)
Several real-world phenomena, including social, communication, transportation, and biological networks, can be efficiently expressed as graphs. This enables the deployment of graph algorithms to infer information from such complex network interaction
Externí odkaz:
https://doaj.org/article/7740ebb72ae949f29c4da79b2ac7d292
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 4, Pp 678-693 (2021)
Abstract In recent years, machine learning (ML) techniques have gained popularity in facilitating real‐time transient stability assessment and prediction for early detection of blackouts in power systems. Conventionally, synchrophasor measurements,
Externí odkaz:
https://doaj.org/article/cb1e287aadd14c80847d10a750414d94
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
We report our findings on using MIDI files and audio features from MIDI, separately and combined together, for MIDI music genre classification. We use McKay and Fujinaga's 3-root and 9-leaf genre data set. In order to compute distances between MIDI p
Externí odkaz:
https://doaj.org/article/1c96389e3b424d22bad3d58a342affa2
Publikováno v:
Journal of Intelligent Systems: Theory and Applications. 6:59-66
Hizmet robotları için gündelik etkileşimlerinde yürütme, sensör veya ortamsal faktörlerden dolayı emniyetsiz durumlar oluşabilir. Bu tür durumlarda emniyetin sağlanması kritik öneme sahiptir. Bu durumların sezilebilmesi için sürekli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894831adb5ae42aef5b6216f9c10d93c
https://doi.org/10.38016/jista.1175323
https://doi.org/10.38016/jista.1175323
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b71dfe09a6a322d63c50b9400c1131f1
https://doi.org/10.1007/s12652-023-04639-0
https://doi.org/10.1007/s12652-023-04639-0
Publikováno v:
2022 7th International Conference on Computer Science and Engineering (UBMK).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::302d80b92beaf3fbef318f5d7801a683
https://doi.org/10.1109/ubmk55850.2022.9919451
https://doi.org/10.1109/ubmk55850.2022.9919451
Autor:
Yusuf Yaslan, Bilge Gunsel
Publikováno v:
Multimedia Systems. 26:323-337
In this paper, we propose a proximity-based indoor positioning system which is capable of monitoring mobile device user’s indoor locations where the commonly used GPS signal is unavailable or weak. The designed system is aimed to be integrated into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7bb3417d824524c1a3af499035ca07e
https://doi.org/10.1007/s00530-019-00646-4
https://doi.org/10.1007/s00530-019-00646-4
Publikováno v:
Journal of Medical and Biological Engineering. 40:149-157
Purpose The purpose of this paper is to propose a novel emotion recognition algorithm from multimodal physiological signals for emotion aware healthcare systems. In this work, physiological signals are collected from a respiratory belt (RB), photople
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ca54ac60685e1949e07ca62ebed60f
https://doi.org/10.1007/s40846-019-00505-7
https://doi.org/10.1007/s40846-019-00505-7
Publikováno v:
Cluster Computing. 23:2565-2578
Current state of PaaS allows rapid outsourcing of web applications without noticeable configuration effort. It could be foreseen that a noteworthy security guarantee in this cloud deployment model make organizations adopt PaaS easier. To date, provis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44000fa7c8b50f34e9d99e40fc74a287
https://doi.org/10.1007/s10586-019-03027-8
https://doi.org/10.1007/s10586-019-03027-8
Autor:
Yusuf Yaslan, Mahmut Lutfullah Ozbilen
Publikováno v:
2021 6th International Conference on Computer Science and Engineering (UBMK).
Machine learning methods, which have shown great success in financial applications, have also been effective in portfolio construction recently. Although raw time series data are generally used in these studies, recent studies have shown that feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97caade9c0f743a946ffaae9f5dc4b3
https://doi.org/10.1109/ubmk52708.2021.9558889
https://doi.org/10.1109/ubmk52708.2021.9558889