Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Ahmet Onat"'
Publikováno v:
Systems Science & Control Engineering, Vol 6, Iss 1, Pp 438-455 (2018)
Policy search algorithms have facilitated application of Reinforcement Learning (RL) to dynamic systems, such as control of robots. Many policy search algorithms are based on the policy gradient, and thus may suffer from slow convergence or local opt
Externí odkaz:
https://doaj.org/article/5efdf2ad806b43809482874306eb494c
Autor:
Ahmet Onat
Kyoto University (京都大学)
0048
甲第7842号
工博第1822号
新制||工||1140(附属図書館)
UT51-99-G436
学位規則第4条第1項該当
0048
甲第7842号
工博第1822号
新制||工||1140(附属図書館)
UT51-99-G436
学位規則第4条第1項該当
Externí odkaz:
http://hdl.handle.net/2433/181811
Akademický článek
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Autor:
Ahmet Onat, Sandor Markon
Publikováno v:
IEEE Sensors Journal. 22:6345-6352
Autor:
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, Peiman Naseradinmousavi, Sinan Yıldırım, Serhat Yeşilyurt, Ahmet Onat
Publikováno v:
Applied Energy. 341:121108
This study focuses on the numerical analysis and optimal control of vertical-axis wind turbines (VAWT) using Bayesian reinforcement learning (RL). We specifically address small-scale wind turbines, which are well-suited to local and compact productio
Publikováno v:
Ankara Üniversitesi Tıp Fakültesi Mecmuas, Vol 73, Iss 2, Pp 139-143 (2020)
Objectives:Collapsing and re-expanding the operated lung during lung resection create the ideal condition for ischemia-reperfusion injury. Anesthetic agents used during these operations may be determinative on oxidative stress. In this study, we aime
Autor:
Emrah Kalemci, Onur Turhan, Irfan Kuvvetli, Stéphane Schanne, Margarita Hernanz, Piotr Orleanski, Chris Tenzer, Müberra Sungur, Ahmet Onat, Ayhan Bozkurt, Mehmet A. Baltaci, José-Luis . Galvez, Søren Brandt, Konrad R. Skup, Denis Tcherniak, Malgorzata Michalska
Publikováno v:
Kalemci, E, Turhan, O, Kuvvetli, I, Schanne, S, Hernanz, M, Orlean´ski, P, Tenzer, C, Sungur, M, Onat, A, Bozkurt, A, Baltacı, M A, Gálvez, J L, Brandt, S, Skup, K, Tcherniak, D & Michalska, M 2022, The Instrument Control Unit processing hardware and software of the Wide Field Monitor on eXTP . in J-W A den Herder, S Nikzad & K Nakazawa (eds), Proceedings of SPIE : Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray ., 1218166, SPIE-International Society for Optical Engineering, Proceedings of SPIE-The International Society for Optical Engineering, vol. 12181, Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray, Montréal, Quebec, Canada, 17/07/2022 . https://doi.org/10.1117/12.2629264
The eXTP (enhanced X-ray Timing and Polarimetry) mission is a joint large mission of the Chinese Academy of Sciences (CAS) and European partners designed to study the state of matter under extreme conditions of density, gravity and magnetism. One of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdab34fe2263bf14bd56ef6618301367
https://orbit.dtu.dk/en/publications/0bcf21ea-08d9-4ab7-9966-2f26d3cddb8b
https://orbit.dtu.dk/en/publications/0bcf21ea-08d9-4ab7-9966-2f26d3cddb8b
Publikováno v:
Journal of Cardiothoracic & Vascular Anesthesia; Dec2024:Supplement, Vol. 38 Issue 12, p69-69, 1p
Autor:
Zekeriyya Alanoğlu, Neslihan Alkis, Çiğdem Yıldırım Güçlü, Ahmet Onat Bermede, Başak Ceyda Meço
Publikováno v:
Journal of Surgery and Medicine, Vol 3, Iss 12, Pp 861-864 (2019)
Aim: Anesthetic agents have been used during electroconvulsive therapy for years, but selecting the agent remains a challenge. Anesthetics may play a negative role on seizure duration, which directly affects the success of the treatment. This study i
Reinforcement learning methods are being applied to control problems in robotics domain. These algorithms are well suited for dealing with the continuous large scale state spaces in robotics field. Even though policy search methods related to stochas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6feef4153ad2135761f0c67704b7c5