Zobrazeno 1 - 10
of 64 973
pro vyhledávání: '"A. Ramakrishnan"'
Autor:
A. Altasan, A. Aljahdali, R. Ramadoss, M.M. Cheung, R.D. Dall, M. Bruneau, Jr, J.A. Nasser, J. Kindler, A. Ramakrishnan, D. Sukumar
Publikováno v:
Metabolism Open, Vol 23, Iss , Pp 100302- (2024)
Background: High prevalence of metabolic abnormalities and poor bone health in ethnic minorties may stem from differences in body composition and alterations in endocrine milieu. South Asian Indians (SAIs) are at greater risk for metabolic syndrome (
Externí odkaz:
https://doaj.org/article/4c511057576e479c831070f070ea7aef
Autor:
Das, Dibyendu, Patankar, Aditya, Chakraborty, Nilanjan, Ramakrishnan, C. R., Ramakrishnan, I. V.
In this paper, we study the problem of methodically obtaining a sufficient set of kinesthetic demonstrations, one at a time, such that a robot can be confident of its ability to perform a complex manipulation task in a given region of its workspace.
Externí odkaz:
http://arxiv.org/abs/2410.18275
Autor:
Das, Dibyendu, Fontanini, Alfredo, Kogan, Joshua F., Ling, Haibin, Ramakrishnan, C. R., Ramakrishnan, I. V.
Fully optimized automation of behavioral training protocols for lab animals like rodents has long been a coveted goal for researchers. It is an otherwise labor-intensive and time-consuming process that demands close interaction between the animal and
Externí odkaz:
http://arxiv.org/abs/2410.18221
Publikováno v:
International Journal of Photoenergy, Vol 2023 (2023)
In this study, speed control of PV battery-powered brushless DC motor (BLDC) is controlled by novel hybrid horse herd particle swarm optimization- (HHHPSO-) tuned proportional integral derivative (PID) controller. The optimal gain parameter of the PI
Externí odkaz:
https://doaj.org/article/ca7eeb662f5347d092c3160b8030ff7d
Autor:
Racha, Suraj, Gupta, Shubh, Firdowse, Humaira, Solanki, Aastik, Ramakrishnan, Ganesh, Jadhav, Kshitij S.
Federated Learning (FL) is a pioneering approach in distributed machine learning, enabling collaborative model training across multiple clients while retaining data privacy. However, the inherent heterogeneity due to imbalanced resource representatio
Externí odkaz:
http://arxiv.org/abs/2411.10383
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification
Question Answering (QA) is an important part of tasks like text classification through information gathering. These are finding increasing use in sectors like healthcare, customer support, legal services, etc., to collect and classify responses into
Externí odkaz:
http://arxiv.org/abs/2411.05991
Autor:
Feng, Chen, Zhuo, Shaojie, Zhang, Xiaopeng, Ramakrishnan, Ramchalam Kinattinkara, Yuan, Zhaocong, Li, Andrew Zou
Continuously adapting pre-trained models to local data on resource constrained edge devices is the $\emph{last mile}$ for model deployment. However, as models increase in size and depth, backpropagation requires a large amount of memory, which become
Externí odkaz:
http://arxiv.org/abs/2411.04036
Autor:
Ferenc, Will, Kastein, Hannah, Lieu, Lauren, Wilson, Ryan, Huang, Yuan Rick, Gilles, Jerome, Bertozzi, Andrea L., Sharma, Balaji R., HomChaudhuri, Baisravan, Ramakrishnan, Subramanian, Kumar, Manish
Publikováno v:
012 American Control Conference, Montreal, Canada, June 2012
This paper considers cooperative control of robots involving two different testbed systems in remote locations with communication on the internet. This provides us the capability to exchange robots status like positions, velocities and directions nee
Externí odkaz:
http://arxiv.org/abs/2411.03614
A cornerstone of social choice theory is Condorcet's paradox which says that in an election where $n$ voters rank $m$ candidates it is possible that, no matter which candidate is declared the winner, a majority of voters would have preferred an alter
Externí odkaz:
http://arxiv.org/abs/2411.03390
Autor:
Ramakrishnan, Raghunathan
At large quantum numbers, the probability densities for particle-in-a-box or simple harmonic oscillator converge to the classical result upon coarse-graining the quantum mechanical probability densities by introducing a finite resolution in the measu
Externí odkaz:
http://arxiv.org/abs/2411.02329