ANOMALY DETECTION USING DEEP AUTOENCODERS FOR THE ASSESSMENT OF THE QUALITY OF THE DATA ACQUIRED BY THE CMS EXPERIMENT

Anomaly detection using Deep Autoencoders for the assessment of the quality of the data acquired by the CMS experiment

The certification of the CMS experiment data as usable for physics analysis is a crucial task to ensure the quality of all physics results published by the collaboration.Currently, the certification conducted by human experts is labor intensive and based on the scrutiny of distributions integrated on several hours of data taking.This contribution f

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Biometeorological conditions during hot summer days in diverse urban environments of Banja Luka (Bosnia and Herzegovina)

Intensive urbanization and global warming are impacting the health and well-being of urban population.Nevertheless, urban environments with different designs will have different micro and local climate conditions.This study used data from micrometeorological measurements performed in different urban spaces (downtown, urban park, riverside) in Banja

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