Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yigit Alparslan"'
Publikováno v:
Journal of Applied Electrochemistry. 49:551-561
In this study, we have investigated the effects of varying flow channel depths and addition of various channel obstructions on the electrochemical performance and pumping power requirements of vanadium redox flow batteries (VRFBs). Specifically, 3D-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f940d2956c2022b1fa819f90e90d85
https://doi.org/10.1007/s10800-019-01306-1
https://doi.org/10.1007/s10800-019-01306-1
Autor:
Adam Dunlop, Edward Kim, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel M. Schwartz, Yigit Alparslan, Shesh Dave
Publikováno v:
IJCNN
In recent years, deep neural networks have had great success in machine learning and pattern recognition. Architecture size for a neural network contributes significantly to the success of any neural network. In this study, we optimize the selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dca3d3117b91ce4a2d2b79003a40983
https://doi.org/10.1109/ijcnn52387.2021.9533483
https://doi.org/10.1109/ijcnn52387.2021.9533483
Many studies in the current literature annotate patterns in stock prices and use computer vision models to learn and recognize these patterns from stock price-action chart images. Additionally, current literature also use Long Short-Term Memory Netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::616a2e2b2b9cb7be8486070afd93f76c
https://doi.org/10.20944/preprints202104.0515.v2
https://doi.org/10.20944/preprints202104.0515.v2
Autor:
Yigit Alparslan, Edward Kim
Many studies in the current literature annotate patterns in stock prices and use computer vision models to learn and recognize these patterns from stock price-action chart images. Additionally, current literature also use Long Short-Term Memory Netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4247f43095e40d5a7feca299536d717
Publikováno v:
Advances in Visual Computing ISBN: 9783030645557
ISVC (1)
ISVC (1)
In recent years, deep neural networks (DNNs) have had great success in machine learning and pattern recognition. It has been shown that these networks can match or exceed human-level performance in difficult image recognition tasks. However, recent r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8e1ac8f5ad8f6a55b8929890d5949ea
https://doi.org/10.1007/978-3-030-64556-4_1
https://doi.org/10.1007/978-3-030-64556-4_1