Zobrazeno 1 - 10
of 410
pro vyhledávání: '"P. Renuga"'
The performance of Federated Learning (FL) hinges on the effectiveness of utilizing knowledge from distributed datasets. Traditional FL methods adopt an aggregate-then-adapt framework, where clients update local models based on a global model aggrega
Externí odkaz:
http://arxiv.org/abs/2404.18962
Autor:
Ghosh, Bishwamittra, Basu, Debabrota, Huazhu, Fu, Yuan, Wang, Kanagavelu, Renuga, Peng, Jiang Jin, Yong, Liu, Rick, Goh Siow Mong, Qingsong, Wei
Federated Learning (FL) is a collaborative machine learning (ML) approach, where multiple clients participate in training an ML model without exposing the private data. Fair and accurate assessment of client contributions is an important problem in F
Externí odkaz:
http://arxiv.org/abs/2403.07151
Autor:
Asit Mohanty, A.K. Ramasamy, Renuga Verayiah, Satabdi Bastia, Sarthak Swaroop Dash, Erdem Cuce, T.M. Yunus Khan, Manzoore Elahi M. Soudagar
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 261-279 (2024)
The increasing occurrence of severe vulnerabilities, such as natural catastrophes and man-made attacks, has resulted in a corresponding rise in power outages on a global scale. Given the growing recognition of such exceptional occurrences, there is a
Externí odkaz:
https://doaj.org/article/4f27b43777e14f46a60d796122da38d5
Autor:
Kanagavelu, Renuga, Dua, Kinshuk, Garai, Pratik, Elias, Susan, Thomas, Neha, Elias, Simon, Wei, Qingsong, Rick, Goh Siow Mong, Yong, Liu
Federated Deep Learning frameworks can be used strategically to monitor Land Use locally and infer environmental impacts globally. Distributed data from across the world would be needed to build a global model for Land Use classification. The need fo
Externí odkaz:
http://arxiv.org/abs/2212.02196
Autor:
Saleh Ba-swaimi, Renuga Verayiah, Vigna K. Ramachandaramurthy, Ahmad K. ALAhmad, Sanjeevikumar Padmanaban
Publikováno v:
Energy Conversion and Management: X, Vol 24, Iss , Pp 100766- (2024)
This work presents a stochastic two-stage mixed-integer nonlinear programming (MINLP) optimization model for the long-term planning of a distribution system (DS) to improve renewable energy integration over a ten-year period. The outer-stage problem
Externí odkaz:
https://doaj.org/article/210dc017200c4f13b7fcc27b9c37a590
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102351- (2024)
This study addresses the critical yet often overlooked aspect of incorporating correlations among input stochastic variables in power system planning and scheduling optimization. While existing literature has extensively focused on uncertainty modell
Externí odkaz:
https://doaj.org/article/62d3f459e2334acd845bb62e34bacd28
Autor:
Aneesh Sarjit S. Musuvathi, Jofin F. Archbald, T. Velmurugan, D. Sumathi, S. Renuga Devi, K. S. Preetha
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2024, Iss 1, Pp 1-19 (2024)
Abstract With the birth of the IoT era, it is evident that the existing number of devices is going to rise exponentially. Any two devices will communicate with each other using the same frequency band with limited availability. Therefore, it is of vi
Externí odkaz:
https://doaj.org/article/8c25334d1bce47419cb0941583a60bc2
Publikováno v:
Mathematics, Vol 12, Iss 12, p 1876 (2024)
Around the world, the people are simultaneously susceptible to or infected with several infections. This work aims at the analysis of the dynamics of transmission of two deadly viruses, COVID-19 and Influenza, using a co-infection epidemiological mod
Externí odkaz:
https://doaj.org/article/1bdd7e563ad441368c53293b129a2264
Autor:
Kanagavelu, Renuga, Li, Zengxiang, Samsudin, Juniarto, Yang, Yechao, Yang, Feng, Goh, Rick Siow Mong, Cheah, Mervyn, Wiwatphonthana, Praewpiraya, Akkarajitsakul, Khajonpong, Wangz, Shangguang
Countries across the globe have been pushing strict regulations on the protection of personal or private data collected. The traditional centralized machine learning method, where data is collected from end-users or IoT devices, so that it can discov
Externí odkaz:
http://arxiv.org/abs/2005.11901
Autor:
Dhiyaneshwari RP, Renuga Devi C
Publikováno v:
Journal of Applied Engineering and Technological Science, Vol 5, Iss 1 (2023)
Typically, the digital games are used as a medium for teaching students having intellectual disabilities, and it helps the student to enhance their learning skills and to understand their surroundings. Intellectual disability is a neurological diseas
Externí odkaz:
https://doaj.org/article/cfa790c2364946d789ea3406ceeffd8c