Robotics & Machine Learning Daily News2024,Issue(Oct.28) :39-40.

Findings on Support Vector Machines Detailed by Investigators at Sai Nath University (A Comprehensive Study On the Application of Soft Computing Methods In Pred icting and Evaluating Rock Fragmentation In an Opencast Mining)

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :39-40.

Findings on Support Vector Machines Detailed by Investigators at Sai Nath University (A Comprehensive Study On the Application of Soft Computing Methods In Pred icting and Evaluating Rock Fragmentation In an Opencast Mining)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Support Vector Machines is now available. According to news reporting from Jharkhand, India, by NewsRx journalists, research stated, “The prediction of rock fragmentation (Fr) is high ly beneficial to the optimization of blasting operations in the mining industry. The characteristics of the rock mass, the blast geometry, and the explosive qua lities are the primary elements influencing Fr.”

Key words

Jharkhand/India/Asia/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines/Sai Nath University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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