首页|Report Summarizes Machine Learning Study Findings from Tecnalia Research & Innovation (On the Use of Machine Learning for Predicting Femtosecond Laser Groo ves In Tribological Applications)

Report Summarizes Machine Learning Study Findings from Tecnalia Research & Innovation (On the Use of Machine Learning for Predicting Femtosecond Laser Groo ves In Tribological Applications)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Donostia San Sebasti an, Spain, by NewsRx correspondents, research stated, “Femtosecondlaser surface texturing is gaining increased interest for optimizing tribological behaviour. However, the lasersurface texturing parameter selection is often conducted thro ugh time-consuming and inefficient trial-anderrorprocesses.”

Donostia San SebastianSpainEuropeB usinessBusinessCyborgsEmerging TechnologiesMachine LearningTecnalia Re search & Innovation

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.28)