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1
Predicting Estimated Time of Arrival Using Boosting Models:
, In:
2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
,
Kam, Say-Hong
;
Chong, Yung-Wey
;
Ibrahim, Noor Farizah
... - p. 467-472 , 2024
Link:
https://doi.org/10.1109/ICAIIC60209.2024.10463273
RT T1 <cTitle>2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)</cTitle>: T1 <Title>Predicting Estimated Time of Arrival Using Boosting Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10463273&Exemplar=1&LAN=DE A1 Kam, Say-Hong A1 Chong, Yung-Wey A1 Ibrahim, Noor Farizah A1 Keoh, Sye-Loong A1 Phon-Amnuaisuk, Somnuk A1 Abdul Rahim, Sharul Kamal YR 2024 SN 2831-6983 K1 Data integrity K1 Urban areas K1 Predictive models K1 Boosting K1 Feature extraction K1 Encoding K1 Data models K1 bus arrival prediction K1 Boruta K1 LightGBM K1 XGBoost K1 AdaBoost SP 467 OP 472 LK http://dx.doi.org/https://doi.org/10.1109/ICAIIC60209.2024.10463273 DO https://doi.org/10.1109/ICAIIC60209.2024.10463273 SF ELIB - SuUB Bremen
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