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pro vyhledávání: '"Srinivas Prabhu"'
Autor:
Lokesh Yadhav Bittanakurike Ramaiah, Kiran Menasiganahalli Doddaputtegowda, Govindaraju Hiregangoor Krishnamurthy Setty, Srinivas Prabhu Murur, Abdulrajak Buradi, Sagr Alamri, Alaauldeen A. Duhduh, Ali A. Rajhi, Mohd Asif Shah, Abhijit Bhowmik
Publikováno v:
ACS Omega, Vol 9, Iss 17, Pp 18827-18835 (2024)
Externí odkaz:
https://doaj.org/article/e2d32fba9e0240199ba5d322a9e82abf
Publikováno v:
In Procedia Structural Integrity 2024 60:177-184
Publikováno v:
National Journal of Physiology, Pharmacy & Pharmacology; 2024, Vol. 14 Issue 10, p2186-2191, 6p
Akademický článek
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Publikováno v:
Materials Today: Proceedings. 52:697-701
The project entails the installation of new pressure vessels in a petrochemical industry in Mangaluru to meet the process requirements of the fluid that runs in the unit. This article focuses on the process that led to the effective development of pi
Publikováno v:
World Journal of Engineering. 18:956-970
Purpose In-situ aluminum metal matrix composites (AMMC) have taken over the use of ex-situ AMMC due to the generation of finer and thermodynamically stable intermetallic compounds. However, conventional processing routes pose inevitable defects like
Publikováno v:
Materials Today: Proceedings. 46:2791-2797
The paper briefly covers the steps involved in designing and analysis of a piping system. An investigation was carried out to understand the different loads acting on the piping system and to incorporate the ways to reduce the stress acting on the sy
Publikováno v:
Resources Policy. 78:102806
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811630668
Traditional machine learning involves the collection of training data to a centralized location. This collected data is prone to misuse and data breach. Federated learning is a promising solution for reducing the possibility of misusing sensitive use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1b82e48aefeaf703d8d101257d3603c
https://doi.org/10.1007/978-981-16-3067-5_13
https://doi.org/10.1007/978-981-16-3067-5_13
Publikováno v:
2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS).
Time series data refers to data points that follow a chronological sequence or ordering. Modelling and analysis of such data is generally done to extract significant statistics and also to utilize the past historic data in order to predict future poi