Robotics & Machine Learning Daily News2024,Issue(Aug.30) :34-35.

Washington State University Reports Findings in Machine Learning (Machine Learni ng Application for Predicting Key Properties of Activated Carbon Produced From L ignocellulosic Biomass Waste With Chemical Activation)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :34-35.

Washington State University Reports Findings in Machine Learning (Machine Learni ng Application for Predicting Key Properties of Activated Carbon Produced From L ignocellulosic Biomass Waste With Chemical Activation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Richland, Washington, by NewsRx journalists, research stated, “The successful applicationof gradient bo osting regression (GBR) in machine learning to forecast surface area, pore volum e, and yieldin biomass-derived activated carbon (AC) production underscores its potential for enhancing manufacturingprocesses.”

Key words

Richland/Washington/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Washin gton State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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