Robotics & Machine Learning Daily News2024,Issue(Mar.21) :82-82.

Reports from Shahjalal University of Science and Technology Describe Recent Adva nces in Support Vector Machines (Experimental investigation and SVM-based predic tion of compressive and splitting tensile strength of ceramic waste aggregate .. .)

Robotics & Machine Learning Daily News2024,Issue(Mar.21) :82-82.

Reports from Shahjalal University of Science and Technology Describe Recent Adva nces in Support Vector Machines (Experimental investigation and SVM-based predic tion of compressive and splitting tensile strength of ceramic waste aggregate .. .)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in support vector machines. According to news reporting from Sylhet, Bangladesh, by NewsRx journalists, research stated, “Due to the brittle nature of ceramic, the ceramic and construction industry produces a large volume of waste that imposes a severe environmental threat due to its non-biodegradability.”

Key words

Shahjalal University of Science and Tech nology/Sylhet/Bangladesh/Machine Learning/Support Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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