Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Shrisha Rao"'
Publikováno v:
IEEE Access, Vol 11, Pp 58254-58268 (2023)
Federated optimization, wherein several agents in a network collaborate with a central server to achieve optimal social cost over the network with no requirement for exchanging information among agents, has attracted significant interest from the res
Externí odkaz:
https://doaj.org/article/752a9a1e9c3a46958530a9dc5f52e84a
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0285749 (2023)
Modelling the engaging behaviour of humans using multimodal data collected during human-robot interactions has attracted much research interest. Most methods that have been proposed previously predict engaging behaviour directly from multimodal featu
Externí odkaz:
https://doaj.org/article/9e4aba5f69fb4c48be4a421f6525c39b
Autor:
Nanda Kishore Sreenivas, Shrisha Rao
Publikováno v:
Intelligent Systems with Applications, Vol 16, Iss , Pp 200105- (2022)
In toy environments like video games, a reinforcement learning agent is deployed and operates within the same state space in which it was trained. However, in robotics applications such as industrial systems or autonomous vehicles, this cannot be gua
Externí odkaz:
https://doaj.org/article/f5f8ec93925d4608849365f6bb13fe11
Publikováno v:
IEEE Access, Vol 10, Pp 54325-54335 (2022)
As usage of artificial intelligence (AI) technologies across industries increases, there is a growing need for creating large marketplaces to host and transact good-quality data sets to train AI algorithms. Our study analyzes the characteristics of s
Externí odkaz:
https://doaj.org/article/432cd4df1f17438fad20ead1eeddf68a
Autor:
Robin F Dard, Erwan Leprince, Julien Denis, Shrisha Rao Balappa, Dmitrii Suchkov, Richard Boyce, Catherine Lopez, Marie Giorgi-Kurz, Tom Szwagier, Théo Dumont, Hervé Rouault, Marat Minlebaev, Agnès Baude, Rosa Cossart, Michel A Picardo
Publikováno v:
eLife, Vol 11 (2022)
Early electrophysiological brain oscillations recorded in preterm babies and newborn rodents are initially mostly driven by bottom-up sensorimotor activity and only later can detach from external inputs. This is a hallmark of most developing brain ar
Externí odkaz:
https://doaj.org/article/f2554468a26e42f2b163afda97fc443d
Autor:
Arun Kumar Kalakanti, Shrisha Rao
Publikováno v:
Systems, Vol 10, Iss 1, p 6 (2022)
Charging station (CS) planning for electric vehicles (EVs) for a region has become an important concern for urban planners and the public alike to improve the adoption of EVs. Two major problems comprising this research area are: (i) the EV charging
Externí odkaz:
https://doaj.org/article/fd665d84350a467dac1c6b8f2c3225d4
Publikováno v:
Systems, Vol 9, Iss 3, p 53 (2021)
Data-centric models of COVID-19 have been attempted, but have certain limitations. In this work, we propose an agent-based model of the epidemic in a confined space of agents representing humans. An extension to the SEIR model allows us to consider t
Externí odkaz:
https://doaj.org/article/53507c3778d64ab9bc8b81eecfa1d079
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
We propose a new class of mathematical structures called (m,n)-semirings (which generalize the usual semirings) and describe their basic properties. We define partial ordering and generalize the concepts of congruence, homomorphism, and so forth, for
Externí odkaz:
https://doaj.org/article/052170d23a37450b8d9d9176fab84d07
Autor:
Arun Kumar Kalakanti, Shrisha Rao
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:14306-14321
Autor:
Sachit Rao, Shrisha Rao
Publikováno v:
International Journal of Control. :1-13