首页|Reports Outline Machine Learning Study Findings from Department of Mechanical En gineering (Utilizing Machine Learning To Forecast Mechanical Characteristics of Naoh-treated Jute Fiber Reinforced Composite Materials)
Reports Outline Machine Learning Study Findings from Department of Mechanical En gineering (Utilizing Machine Learning To Forecast Mechanical Characteristics of Naoh-treated Jute Fiber Reinforced Composite Materials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news originatingfrom Nasik, India, by NewsRx corr espondents, research stated, “The prediction of mechanical propertiesin composi te materials is crucial for optimizing their performance in various engineering applications.This study focuses on NaOH treated jute fiber reinforced glass epo xy composites, aiming to predict keymechanical characteristics like flexural st rength, tensile strength, and the hardness.”
NasikIndiaAsiaCyborgsEmerging Te chnologiesMachine LearningDepartment of Mechanical Engineering
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