首页|New Machine Learning Findings Reported from Federal University Sao Carlos [Laser-induced Breakdown Spectroscopy (Libs): Calibration Challenges, Combination With Other Techniques, and Spectral Analysis Using Data Science]

New Machine Learning Findings Reported from Federal University Sao Carlos [Laser-induced Breakdown Spectroscopy (Libs): Calibration Challenges, Combination With Other Techniques, and Spectral Analysis Using Data Science]

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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 newsreporting originating from Sao Carlos , Brazil, by NewsRx correspondents, research stated, “Laser-InducedBreakdown Sp ectroscopy (LIBS) is a versatile and powerful analytical technique widely used f or rapid,in situ elemental analysis across various fields, from industrial qual ity control to planetary exploration.This review addresses the critical aspects and emerging trends in LIBS, focusing on calibration challenges,integrating co mplementary techniques (data fusion), and applying data science for spectral ana lysis.”

Sao CarlosBrazilSouth AmericaCybor gsEmerging TechnologiesMachine LearningFederal University Sao Carlos

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.17)