首页|Study Data from Faculty of Mechanical Engineering Provide New Insights into Mach ine Learning (A Bibliometric Review On Application of Machine Learning In Additi ve Manufacturing and Practical Justification)
Study Data from Faculty of Mechanical Engineering Provide New Insights into Mach ine Learning (A Bibliometric Review On Application of Machine Learning In Additi ve Manufacturing and Practical Justification)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting from Ostrava, Czech Republic, by Ne wsRx journalists, research stated, "This paper delves into the cuttingedge appl ications of Machine Learning (ML) within modern Additive Manufacturing (AM), emp loying bibliometric analysis as its methodology. Formulated around three pivotal research questions, the study navigates through the current landscape of the re search field." Funders for this research include European Union under the REFRESH - Research Ex cellence For REgion Sustainability and High-tech Industries, Structural Funds of European Union project. The news correspondents obtained a quote from the research from the Faculty of M echanical Engineering, "Utilizing data sourced from Web of Science, the paper co nducts a comprehensive statistical and visual analysis to unveil underlying patt erns within the existing literature. Each category of ML techniques is elucidate d alongside its specific applications, providing researchers with a holistic ove rview of the research terrain and serving as a practical checklist for those see king to address particular challenges. Culminating in a vision for the Smart Add itive Manufacturing Factory (SAMF), the paper envisions seamless integration of reviewed ML techniques."
OstravaCzech RepublicEuropeCyborgsEmerging TechnologiesMachine LearningFaculty of Mechanical Engineering
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