Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Arjun Magotra"'
Autor:
Verjesh Kumar Magotra, Dong-Jin Lee, D. Y. Kim, S. J. Lee, T. W. Kang, Arjun Magotra, Akbar I. Inamdar, Nabeen K. Shrestha, Supriya A. Patil, Siriluck Thammanu, Hee Chang Jeon
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Microbial fuel cells (CS-UFC) utilize waste resources containing biodegradable materials that play an essential role in green energy. MFC technology generates “carbon-neutral” bioelectricity and involves a multidisciplinary approach to microbiolo
Externí odkaz:
https://doaj.org/article/29f02d9548754bd4ad31a433adae780b
Autor:
Verjesh Kumar Magotra, Arjun Magotra, Sawanta S. Mali, Hee C. Jeon, Tae W. Kang, Amol S. Salunke, Chang Kook Hong, Nabeen K. Shrestha, Hyunsik Im, Akbar I. Inamdar
Publikováno v:
Membranes, Vol 13, Iss 9, p 748 (2023)
Layered double hydroxides (LDHs) have gained vast importance as an electrocatalyst for water electrolysis to produce carbon-neutral and clean hydrogen energy. In this work, we demonstrated the fabrication of nano-flake-like NiMn LDH thin film electro
Externí odkaz:
https://doaj.org/article/1cbdddc6522244fc849b24c675d0f2a0
Autor:
Arjun Magotra, Juntae Kim
Publikováno v:
Symmetry, Vol 13, Iss 8, p 1344 (2021)
The plastic modifications in synaptic connectivity is primarily from changes triggered by neuromodulated dopamine signals. These activities are controlled by neuromodulation, which is itself under the control of the brain. The subjective brain’s se
Externí odkaz:
https://doaj.org/article/8d1281c15afe42dd8dd7fb410afe7ad7
Autor:
Arjun Magotra, Juntae Kim
Publikováno v:
Applied Sciences, Vol 10, Iss 16, p 5631 (2020)
Transfer learning algorithms have been widely studied for machine learning in recent times. In particular, in image recognition and classification tasks, transfer learning has shown significant benefits, and is getting plenty of attention in the rese
Externí odkaz:
https://doaj.org/article/a8b6bb5bda414b15a36f88f434c70595
Autor:
Juntae Kim, Arjun Magotra
Publikováno v:
Symmetry, Vol 13, Iss 1344, p 1344 (2021)
Symmetry
Volume 13
Issue 8
Symmetry
Volume 13
Issue 8
The plastic modifications in synaptic connectivity is primarily from changes triggered by neuromodulated dopamine signals. These activities are controlled by neuromodulation, which is itself under the control of the brain. The subjective brain’s se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db67376f5a82764815af976096c7831d
https://www.mdpi.com/2073-8994/13/8/1344
https://www.mdpi.com/2073-8994/13/8/1344
Autor:
Juntae Kim, Arjun Magotra
Publikováno v:
Applied Sciences, Vol 10, Iss 5631, p 5631 (2020)
Applied Sciences
Volume 10
Issue 16
Applied Sciences
Volume 10
Issue 16
Transfer learning algorithms have been widely studied for machine learning in recent times. In particular, in image recognition and classification tasks, transfer learning has shown significant benefits, and is getting plenty of attention in the rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee179ee15a4df8469c3947542031c0b8
https://www.mdpi.com/2076-3417/10/16/5631
https://www.mdpi.com/2076-3417/10/16/5631
Autor:
Arjun Magotra, Juntae Kim
Publikováno v:
CSAI
Transfer learning is a deep learning technique has proved to be of great importance. However, most of the standard transfer learning algorithms are designed to repeat the same method for fine-tuning of the weights on the target domain. If we try to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04021b28e2cbb7cc1de77a1fc7e64961
https://doi.org/10.1145/3374587.3375880
https://doi.org/10.1145/3374587.3375880