Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yi-Chia Tseng"'
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 13:444-452
A reinforcement learning (RF) agent is always equipped with a designed reward function to correct policies for optimal decision making through interactions with an environment. However, it is difficult to design a reward function appropriate for comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d91b8fa3b1db9a2f500808282d7a387
https://doi.org/10.1109/tcds.2019.2957831
https://doi.org/10.1109/tcds.2019.2957831
Publikováno v:
Journal of Veterinary Medical Science. 82:788-792
Reptile-associated nidoviruses (serpentoviruses) have been reported to cause proliferative interstitial pneumonia in pythons and other reptile species. A captive, younger than 2 years old, intact female ball python (Python regius) showed increased or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::669401e5463e5e383adfe09efe062186
https://doi.org/10.1292/jvms.20-0166
https://doi.org/10.1292/jvms.20-0166
Publikováno v:
J. Mater. Chem. A. 2:4270-4275
In this study, we have investigated the effect of alloying on the modification of the d-band vacancies and oxygen reduction reaction (ORR) activity of PtPd and PtCu nanorods (NRs). PtCu and PtPd NRs with various ratios can be prepared successfully by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e6dc5bc7bbe2c4d8d500cdf3ae0efef
https://doi.org/10.1039/c3ta14705c
https://doi.org/10.1039/c3ta14705c
Autor:
Tsan-Yao Chen, Chien Te Hsieh, Yi Chia Tseng, Shu Ru Chung, Cheng En Lee, Yu Ting Liang, Hong Shuo Chen, Kuan Wen Wang, Chen Wei Liu
Publikováno v:
Chem. Commun.. 50:11165-11168
The combinational modification of the morphology, alloying, and support for Pt catalysts has been optimized towards the oxygen reduction reaction. Graphene-supported PtPd nanorods have lower unfilled Pt d-states than carbon-supported Pt nanoparticles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faa4a9a31cd8d6e0c84b389bd574d144
https://doi.org/10.1039/c4cc04595e
https://doi.org/10.1039/c4cc04595e
Autor:
Wey-Ran Lin, Jen-Fen Fu, Yu-Chin Chen, Hui-Ling Chen, Ching-Wei Hsu, Huang-Yu Yang, Yi-Chia Tseng, Wen-Hung Huang, Cheng-Hao Weng, I-Kuan Wang, Kuan-Hsin Chen, Tzung-Hai Yen, Shou-Hsuan Liu
Publikováno v:
Scientific Reports
A paucity of literature exists on risk factors for mortality in charcoal burning suicide. In this observational study, we analyzed the data of 126 patients with charcoal burning suicide that seen between 2002 and 2013. Patients were grouped according
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9fcca90e0bf01c790964e2b81fb9a2
Publikováno v:
ICIT
Reinforcement Learning (RL) techniques use a reward function to correct a learning agent to solve sequential decision making problems through interactions with a dynamic environment, but it is hard to design the reward function in complex problems. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cdbfbe87373c8f8074ab8b455b53a02
https://doi.org/10.1109/icit.2016.7475012
https://doi.org/10.1109/icit.2016.7475012
Autor:
Yi-Chia Tseng, 曾逸家
104
Characteristic of an intelligent house not only possess convenience, comfort and energy-conservation, but more important is disaster prevention and personal safety. However, the emergency-exit light is one of important fire-fighting equipmen
Characteristic of an intelligent house not only possess convenience, comfort and energy-conservation, but more important is disaster prevention and personal safety. However, the emergency-exit light is one of important fire-fighting equipmen
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/hwmxqc
Autor:
Yi-Chia Tseng, 曾怡家
104
Reinforcement learning (RL) techniques use a reward function to correct a learning agent to solve sequential decision making problems through interactions with a dynamic environment, but it is hard to design the reward function in complex pr
Reinforcement learning (RL) techniques use a reward function to correct a learning agent to solve sequential decision making problems through interactions with a dynamic environment, but it is hard to design the reward function in complex pr
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/42949081673182197616
Autor:
Yi-chia Tseng, 曾怡嘉
102
Developing the one-dimensional (1-D) Pt-based nanomaterials with graphene support can provide a great opportunity to improve their catalytic activity and durability. In this study, carbon or graphene supported Pt and PtM (M= Cu or Pd) nanoro
Developing the one-dimensional (1-D) Pt-based nanomaterials with graphene support can provide a great opportunity to improve their catalytic activity and durability. In this study, carbon or graphene supported Pt and PtM (M= Cu or Pd) nanoro
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/61248176556622972867
Autor:
Yi-Chia Tseng, 曾怡嘉
100
As economic and social development progresses along with the implementation of weekend holidays, people’ lifestyle has changed in regards with the concept of work and vacation. Since people work under tremendous pressures, they are prone t
As economic and social development progresses along with the implementation of weekend holidays, people’ lifestyle has changed in regards with the concept of work and vacation. Since people work under tremendous pressures, they are prone t
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/5jxx99