首页|Research from Chinese Academy of Forestry Yields New Findings on Machine Learnin g (Image-Based Evaluation of Cracking Degrees on Wood Fiber Bundles: A Machine L earning Approach)
Research from Chinese Academy of Forestry Yields New Findings on Machine Learnin g (Image-Based Evaluation of Cracking Degrees on Wood Fiber Bundles: A Machine L earning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “In this study, a mac hine learning-based method to assess and predict the cracking degree (CD) on woo d fiber bundles (WFB) was developed, which is crucial for enhancing the quality control and refining the production process of wood scrimber (WS).” Funders for this research include Central Level Public Welfare Research Institut es Basic Research Fund, China.
Chinese Academy of ForestryBeijingPe ople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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