Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116487
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.creatorHe, Linxi-
dc.date.accessioned2026-01-02T22:00:44Z-
dc.date.available2026-01-02T22:00:44Z-
dc.identifier.urihttps://ows.lib.polyu.edu.hk/s/ows/item/4400-
dc.identifier.urihttp://hdl.handle.net/10397/116487-
dc.language.isoEnglish-
dc.rightsAll rights reserved-
dc.subjectFinite Element Method-
dc.subjectNonlinear Systems-
dc.subjectNumerical Methods-
dc.subjectNeural Networks-
dc.subjectStructural Dynamics-
dc.titleData Science in Action: Tackling Real-World Challenges with Machine Learning-
dc.typeFeature Story-
dc.typeOWS-
dcterms.abstractLinxi HE joined the 4th Wutong Cup National Data Application Competition, where students nationwide solve practical problems using data analysis and machine learning. Our team developed a convolution-based model for “Northbound Population Roaming Analysis,” uncovering unique traveler patterns. Balancing final exams and competition rounds was tough, but we managed with remote collaboration and code optimization. A memorable moment was presenting our results, which resonated with the judges and earned us a National-Level Award. The competition taught me how to translate machine learning theory into practical solutions, communicate effectively, and collaborate under pressure. PolyU’s resources and my supervisor’s mentorship were crucial. The competition not only enhanced my technical skills but also prepared me for future academic and industry opportunities.-
dcterms.accessRightsopen access-
dcterms.issued2025-12-
dcterms.LCSHElectronic data processing-
dcterms.LCSHMachine learning-
dcterms.educationalLevelUndergraduate-
Appears in Collections:Outstanding Work by Students
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