Seulgi Kim
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View article: Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health
Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health Open
Background Frailty is a public health concern linked to falls, disability, and mortality. Early screening and tailored interventions can mitigate adverse outcomes, but community settings require tools that are accurate and explainable. Kor…
View article: Probing bottom-associated production of a TeV scale scalar decaying to a top quark and dark matter at the LHC
Probing bottom-associated production of a TeV scale scalar decaying to a top quark and dark matter at the LHC Open
A bstract A minimal non-thermal dark matter model that can explain both the existence of dark matter and the baryon asymmetry in the universe is studied. It requires two color-triplet, iso-singlet scalars with $$ \mathcal{O}\left(\textrm{T…
View article: Probing bottom-associated production of a TeV scale scalar decaying to a top quark and dark matter at the LHC
Probing bottom-associated production of a TeV scale scalar decaying to a top quark and dark matter at the LHC Open
A minimal non-thermal dark matter model that can explain both the existence of dark matter and the baryon asymmetry in the universe is studied. It requires two color-triplet, iso-singlet scalars with $\mathcal{O}$(TeV) masses and a singlet…
View article: Improving Text-to-SQL with a Hybrid Decoding Method
Improving Text-to-SQL with a Hybrid Decoding Method Open
Text-to-SQL is a task that converts natural language questions into SQL queries. Recent text-to-SQL models employ two decoding methods: sketch-based and generation-based, but each has its own shortcomings. The sketch-based method has limit…
View article: Muon Trigger using Deep Neural Networks accelerated by FPGAs
Muon Trigger using Deep Neural Networks accelerated by FPGAs Open
Accuracy and latency are crucial to the trigger system in high luminosity particle physics experiments. We investigate the usage of deep neural networks (DNN) to improve the accuracy of the muon track segment reconstruction process at the …
View article: Performance of a Triple-GEM Demonstrator in $pp$ Collisions at the CMS \n Detector
Performance of a Triple-GEM Demonstrator in $pp$ Collisions at the CMS
\n Detector Open
After the Phase-2 high-luminosity upgrade to the Large Hadron Collider (LHC),
\nthe collision rate and therefore the background rate will significantly
\nincrease, particularly in the high $\\eta$ region. To improve both the tracking
\nand…