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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 8, Issue 4, Part B (2022)

Management of security issues with a networked data framework

Management of security issues with a networked data framework

Author(s)
Neetu Kawatra
Abstract
The goal of generator design is to get specifications for all sections of the transformer so that it is cost-efficient, effective, and meets all international criteria and customer expectations. Active component prices, development expenses, and total ownership costs are predicted to be reduced when Artificial Intelligence (AI) approaches are included, while still adhering to international regulations and constraints. For TDO concerns, AI approaches are still being used in Indian manufacturing. The main goal of this research is to develop AI-based solutions that may be utilized to improve the distribution transformer design. This design would reduce manufacturing expenses as well as the transformer's total cost of ownership (TOC).
Pages: 123-125  |  369 Views  78 Downloads


International Journal of Applied Research
How to cite this article:
Neetu Kawatra. Management of security issues with a networked data framework. Int J Appl Res 2022;8(4):123-125.
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