Zobrazeno 1 - 10
of 5 793
pro vyhledávání: '"HariPrasad AS"'
Autor:
P. Senguttuvel, Padmavathi G, Jasmine C, Sanjeeva Rao D, Neeraja CN, Jaldhani V, Beulah P, Gobinath R, Aravind Kumar J, Sai Prasad SV, Subba Rao LV, Hariprasad AS, Sruthi K, Shivani D, Sundaram RM, Mahalingam Govindaraj
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Rice is a highly consumed staple cereal cultivated predominantly in Asian countries, which share 90% of global rice production. Rice is a primary calorie provider for more than 3.5 billion people across the world. Preference and consumption of polish
Externí odkaz:
https://doaj.org/article/21428990b5ed40248bd2da8372eb193a
Graph distillation has emerged as a promising avenue to enable scalable training of GNNs by compressing the training dataset while preserving essential graph characteristics. Our study uncovers significant shortcomings in current graph distillation t
Externí odkaz:
http://arxiv.org/abs/2410.17579
Autor:
Wang, Hanyin, Gao, Chufan, Liu, Bolun, Xu, Qiping, Hussein, Guleid, Labban, Mohamad El, Iheasirim, Kingsley, Korsapati, Hariprasad, Outcalt, Chuck, Sun, Jimeng
Proprietary Large Language Models (LLMs) such as GPT-4 and Gemini have demonstrated promising capabilities in clinical text summarization tasks. However, due to patient data privacy concerns and computational costs, many healthcare providers prefer u
Externí odkaz:
http://arxiv.org/abs/2405.00715
This paper uses Euclidean Information Theory (EIT) to analyze the wiretap channel. We investigate a scenario of efficiently transmitting a small amount of information subject to compression rate and secrecy constraints. We transform the information-t
Externí odkaz:
http://arxiv.org/abs/2403.13345
Fault detection and isolation in complex systems are critical to ensure reliable and efficient operation. However, traditional fault detection methods often struggle with issues such as nonlinearity and multivariate characteristics of the time series
Externí odkaz:
http://arxiv.org/abs/2401.04004
Autor:
Ambadapudi, Hariprasad, Matai, Rajesh
Publikováno v:
Journal of Modelling in Management, 2024, Vol. 19, Issue 6, pp. 1795-1826.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-12-2023-0283
GNNs, like other deep learning models, are data and computation hungry. There is a pressing need to scale training of GNNs on large datasets to enable their usage on low-resource environments. Graph distillation is an effort in that direction with th
Externí odkaz:
http://arxiv.org/abs/2310.09486
Publikováno v:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 23), 2023
Modelling spatio-temporal processes on road networks is a task of growing importance. While significant progress has been made on developing spatio-temporal graph neural networks (Gnns), existing works are built upon three assumptions that are not pr
Externí odkaz:
http://arxiv.org/abs/2306.08277
This paper develops a provably stable sensor-driven controller for path-following applications of robots with unicycle kinematics, one specific class of which is the wheeled mobile robot (WMR). The sensor measurement is converted to a scalar value (t
Externí odkaz:
http://arxiv.org/abs/2303.12182
Autor:
Hariprasad, M. G, Bandyopadhyay, P., Nikolaev, V. S., Kolotinskii, D. A., Arumugam, S., Arora, G., Singh, S., Sen, A., Timofeev, A. V.
A complex (dusty) plasma system is well known as a paradigmatic model for studying the kinetics of solid-liquid phase transitions in inactive condensed matter. At the same time, under certain conditions a complex plasma system can also display charac
Externí odkaz:
http://arxiv.org/abs/2208.06605