Zobrazeno 1 - 10
of 81
pro vyhledávání: '"P. Seshu Kumar"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100762- (2024)
This paper offers a fresh perspective to memory allocation in edge-PLCs within industrial IoT environments, leveraging a hybrid a structure that incorporates Deep Q-Networks (DQN) and Bidirectional Long Short-Term Memory Networks (BiLSTM), complement
Externí odkaz:
https://doaj.org/article/f22ac45102764360b29c7b4a678f34d1
Autor:
Lawrence, Nathan P., Damarla, Seshu Kumar, Kim, Jong Woo, Tulsyan, Aditya, Amjad, Faraz, Wang, Kai, Chachuat, Benoit, Lee, Jong Min, Huang, Biao, Gopaluni, R. Bhushan
Publikováno v:
Control Engineering Practice 2024
With the rise of deep learning, there has been renewed interest within the process industries to utilize data on large-scale nonlinear sensing and control problems. We identify key statistical and machine learning techniques that have seen practical
Externí odkaz:
http://arxiv.org/abs/2401.13836
Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study of statistical and machine learning methods used for MMP estimation is
Externí odkaz:
http://arxiv.org/abs/2304.07617
Autor:
Gopaluni, R. Bhushan, Tulsyan, Aditya, Chachuat, Benoit, Huang, Biao, Lee, Jong Min, Amjad, Faraz, Damarla, Seshu Kumar, Kim, Jong Woo, Lawrence, Nathan P.
Over the last ten years, we have seen a significant increase in industrial data, tremendous improvement in computational power, and major theoretical advances in machine learning. This opens up an opportunity to use modern machine learning tools on l
Externí odkaz:
http://arxiv.org/abs/2209.11123
Autor:
Sampath Emani, Seshu Kumar Vandrangi, Gurunadh Velidi, Mohammad Hossein Ahmadi, Yulineth Cárdenas Escorcia, Alexander Jafet Nieto Pisciotti
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 17, Iss 1 (2023)
Mini solar flat plate collectors have gained traction due to their cost-effectiveness, high efficiency in converting solar radiation to heat energy, and versatility in residential and commercial applications, offering long lifespans with minimal main
Externí odkaz:
https://doaj.org/article/5e695064f62d4127ad0c596c192d255c
Autor:
Abhishek Kumar, Arvind R. Singh, R. Seshu Kumar, Yan Deng, Xiangning He, R.C. Bansal, Praveen Kumar, R.M. Naidoo
Publikováno v:
Energy Strategy Reviews, Vol 50, Iss , Pp 101222- (2023)
The utility's utilization of communication technology and renewable energy sources has paved the path for self-sustaining microgrids (MGs). However, the intermittency of solar and wind energies raises concerns about meeting demand effectively. To ens
Externí odkaz:
https://doaj.org/article/f82d3d4a8b7645fdba44d70b7f340b00
Autor:
Sivayazi Kappagantula, Saipranav Vojjala, Aditya Arun Iyer, Gurunadh Velidi, Sampath Emani, Seshu Kumar Vandrangi
Publikováno v:
Operational Research in Engineering Sciences: Theory and Applications, Vol 6, Iss 2 (2023)
In swarm robotics, a group of robots coordinate with each other to solve a problem. Swarm systems can be heterogeneous or homogeneous. Heterogeneous swarms consist of multiple types of robots as opposed to Homogeneous swarms, which are made up of ide
Externí odkaz:
https://doaj.org/article/428f9fc84df4429592c43f75de183242
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Damarla, Seshu Kumar, Kundu, Madhusree
A simple yet effective numerical method using orthogonal hybrid functions consisting of piecewise constant orthogonal sample-and-hold functions and piecewise linear orthogonal triangular functions is proposed to solve numerically fractional order non
Externí odkaz:
http://arxiv.org/abs/1801.06970
Autor:
Damarla, Seshu Kumar, Kundu, Madhusree
In this paper, an easy-to-implement and computationally effective numerical method based on the new orthogonal hybrid functions is developed to solve system of fractional order differential equations numerically. The new orthogonal hybrid functions a
Externí odkaz:
http://arxiv.org/abs/1801.06972