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pro vyhledávání: '"Krishnamurthy K"'
Objective: This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead of traditi
Externí odkaz:
http://arxiv.org/abs/2408.03336
Autor:
Raman, Anantanarayanan
Publikováno v:
Current Science, 2019 Apr 01. 116(7), 1252-1255.
Externí odkaz:
https://www.jstor.org/stable/27138019
Autor:
Bharatha A, Ojeh N, Fazle Rabbi AM, Campbell MH, Krishnamurthy K, Layne-Yarde RNA, Kumar A, Springer DCR, Connell KL, Majumder MAA
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 15, Pp 393-400 (2024)
Ambadasu Bharatha,1 Nkemcho Ojeh,1 Ahbab Mohammad Fazle Rabbi,2 Michael H Campbell,1 Kandamaran Krishnamurthy,1 Rhaheem NA Layne-Yarde,1 Alok Kumar,1 Dale CR Springer,1 Kenneth L Connell,1 Md Anwarul Azim Majumder1 1Faculty of Medical Sciences, The U
Externí odkaz:
https://doaj.org/article/c284a1a09dbc4f84ba80e8a2e6b57ffa
Autor:
Wayne, Randy
Publikováno v:
The Quarterly Review of Biology, 2016 Jun 01. 91(2), 224-226.
Externí odkaz:
https://www.jstor.org/stable/26553529
Spiking neural networks (SNNs) are receiving increased attention because they mimic synaptic connections in biological systems and produce spike trains, which can be approximated by binary values for computational efficiency. Recently, the addition o
Externí odkaz:
http://arxiv.org/abs/2208.06900
Proceedings of the Workshop on Magmatic Ore Deposits P. Krishnamurthy K. T. Vidyadharan R. H. Sawkar
Autor:
Devarajan, M. K.
Publikováno v:
Current Science, 2014 Dec 01. 107(11), 1901-1903.
Externí odkaz:
https://www.jstor.org/stable/24107841
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100553- (2024)
The use of solar photovoltaic systems for home, industrial, and electric vehicles has grown dramatically in recent years. It generates energy from a natural source known as sunlight, and the use of irradiation to the solar panel generates heat, which
Externí odkaz:
https://doaj.org/article/bd6f5e02e8924a5983d059ba13da3d1e
Adaptive methods are popular within the control literature due to the flexibility and forgiveness they offer in the area of modelling. Neural network adaptive control is favorable specifically for the powerful nature of the machine learning algorithm
Externí odkaz:
http://arxiv.org/abs/2107.10383
Autor:
Cicardi, M.E., Hallgren, J.H., Mawrie, D., Krishnamurthy, K., Markandaiah, S.S., Nelson, A.T., Kankate, V., Anderson, E.N., Pasinelli, P., Pandey, U.B., Eischen, C.M., Trotti, D.
Publikováno v:
In iScience 15 September 2023 26(9)