首页|Studies Conducted at Autonomous University Barcelona on Ma- chine Learning Recently Reported (Deep Machine Learning for Me- teor Monitoring: Advances With Transfer Learning and Gradient- weighted Class Activation Mapping)
Studies Conducted at Autonomous University Barcelona on Ma- chine Learning Recently Reported (Deep Machine Learning for Me- teor Monitoring: Advances With Transfer Learning and Gradient- weighted Class Activation Mapping)
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NETL
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Elsevier
2024 FEB 27 (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 Catalonia, Spain, by NewsRx journalists, research stated, “In recent decades, the use of optical detection systems for meteor studies has increased dramatically, resulting in huge amounts of data being analyzed. Automated meteor detection tools are essential for studying the continuous meteoroid incoming flux, recovering fresh meteorites, and achieving a better understanding of our Solar System.” Funders for this research include Spanish Government, MCIN/AEI, Spanish Government, Program Unidad de Excelencia Maria de Maeztu.
CataloniaSpainEuropeCyborgsEmerging TechnologiesMachine LearningAutonomous University Barcelona
NETL
NSTL
Elsevier
