Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Borahan Tumer"'
Publikováno v:
Evolving Systems.
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.With the growing state/action space, learning a satisfactory policy for regular Reinforcement Learning (RL) algorithms such as flat Q-learning be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bf69cbd73d22dc9d5e1c65a89f6fe43
https://doi.org/10.1007/s12530-022-09478-6
https://doi.org/10.1007/s12530-022-09478-6
Autor:
Borahan Tumer, Engin Durmaz
© 2022 Elsevier LtdThe Quality Assurance (QA) team verifies software for months before its release decisions. Nevertheless, some crucial bugs remain undetected in manual testing. These bugs would make the system unusable on field, thus merchant lose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e057b2dcb6fb825e96c229343d200335
https://hdl.handle.net/11424/288008
https://hdl.handle.net/11424/288008
Autor:
Ekrem Talha Selamet, Borahan Tumer
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7877f2d6d246a1c23ac0a6bbcd602010
https://doi.org/10.1109/siu55565.2022.9864802
https://doi.org/10.1109/siu55565.2022.9864802
Autor:
Borahan Tumer, Kutalmış Coşkun
Publikováno v:
Pattern Recognition. 129:108702
Dynamic systems are highly complex and hard to deal with due to their subject-and time-varying na-ture. The fact that most of the real world systems/events are of dynamic character makes modeling and analysis of such systems inevitable and charmingly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f50dc60803cbe4251c9348ff8da1c29b
https://doi.org/10.1016/j.patcog.2022.108702
https://doi.org/10.1016/j.patcog.2022.108702
Publikováno v:
2017 IEEE 15th International Conference on Industrial Informatics (INDIN)
INDIN
INDIN
Sequential data generated from various sources in a multi-mode industrial production system provides valuable information on the current mode of the system and enables one to build a model for each individual operating mode. Using these models in a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecd628e5d3b9c1daa2426778b55b7d01
Autor:
Aleksei Ustimov, Borahan Tumer
Publikováno v:
Computer and Information Sciences-ISCIS 2005 ISBN: 9783540294146
ISCIS
ISCIS
This paper investigates the problem of cycle detection in periodic noisy data sequences. Our approach is based on reinforcement learning principles. A constructive approach is used to devise a variable structure learning automaton (VSLA) that becomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f8dbd471c4526cd5941d9df2fab1901
https://doi.org/10.1007/11569596_57
https://doi.org/10.1007/11569596_57
Publikováno v:
2017 IEEE 15th International Conference on Industrial Informatics (INDIN)
INDIN
INDIN
In general, dynamic systems are systems with time-dependent behavior. Dynamic systems are characterized by the non-stationary data sequences they emit. One particular way to model these non-stationary sequences is to consider them as a sequence of st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c8ece7d3fdd1bf4f099de417da42733
Autor:
Mujdat Soyturk, Kutalmis Coskun, Onur Izmitlioglu, Borahan Tumer, Deniz Gunes, Sinan Saracoglu, Baris Bulut, Hasan Burak Ketmen, Ismethan Hanedar, Tasemir Asan, Eray Aydin
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29d7301c2d0cd000ade251c9891c8fab