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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM18110

Machine Learning Framework to resolve Industrial Hassle

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM18110

Volume:

7 |

3 |

Mar 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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AK

Archana Kalia

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Abstract

Common Manual Problem detected in any construction industry is “Efficiently managing the labor force in different variety of sites”. Human forces have shown their managerial skills since ages. But then at times many skilled managers also fail in the process of management. But if the computer system is trained to do this particular job, at least 90% accuracy can be achieved and it can be further increased. This process of training can be carried away with the help of Machine learning implementation. This paper is trying to achieve the means of Machine learning implementation and using it to automate any machine which is commonly used in industries.

KEYWORDS

Attributes Preprocessing Prediction Valediction Machine learning.

Cite This Article

Archana Kalia, "Machine Learning Framework to resolve Industrial Hassle," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 3, Mar 2023. https://doi.org/10.55041/IJSREM18110

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Publication Date

3/15/2023

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The authors declare no conflict of interest related to this research work.

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