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Machine learning models for subtropical forest aboveground biomass mapping using combined SAR and optical satellite imagery
202508 bchyNot applicableRGCOthersThis project is substantially funded by the General Research Fund (Grant No. 15603923 and 15609421 ), and the Collaborative Research Fund (Grant No. C5062\u201321GF ) and Young Collaborative Research Fund (Grant No. C6003\u201322Y ) from the Research Grants Council, Hong Kong, China. The authors acknowledge the funding support (Grant No. BBG2 and CD81 ) from the Research Institute for Sustainable Urban Development, Research Institute of Land and Space, The Hong Kong Polytechnic University , Kowloon, Hong Kong, China. M. Nazeer would like to thank the funding support from the General Research Fund (Grant No. PolyU15306224 ) from the Research Grants Council of Hong Kong.Published24 monthsGreen (AAM
Time-marching neural operator–FE coupling : AI-accelerated physics modeling
202510 bcwcNot applicableRGCOthersThe authors (WW and HHR) would like to acknowledge the support by the Hong Kong General Research Fund (GRF) under Grant Numbers 15,213,619 and 15210622, and by an industry collaboration project (HKPolyU Project ID: P0039303). SG is supported by 2024 Johns Hopkins Discovery Award and National Science Foundation Grant Number 2438193 . The authors acknowledge the computational resources provided by the University Research Facility in Big Data Analytics (UBDA) at The Hong Kong Polytechnic University. The authors would like to acknowledge Dr. Yue Yu from Lehigh University for all the insighful discussions.Published24 monthsGreen (AAM
Real-time reconstruction of hydrogen leakage concentration field based on transient sparse monitoring data in hydrogen refueling stations
202510 bcwcNot applicableOthersThis research was supported by the National Key Research and Development Program of China (Grant No. 2021YFB4000900 ), National Natural Science Foundation of China (Grant No. 52104186 ), Key Program of National Natural Science Foundation of China (Grant No. 52130410 ), and the Opening fund of Shock and Vibration of Engineering Materials and Structures Key Lab of Sichuan Province (Grant No. 23kfgk05 ).Published24 monthsGreen (AAM
Beyond beauty : ugly and borderline tourism aesthetic experiences
Title on author's file: Beyond Beauty: Ugly and Borderline Aesthetic Experiences in Tourism202510 bcchNot applicableRGCPublished36 monthsGreen (AAM
Impact of avatar-based metaverse learning on students’ self-expansion : a multi-group analysis of prior experience and educational levels
202510 bcwcNot applicableSelf-fundedEarly release18 monthsGreen (AAM
Can visual attention help uncover the effects of visitor density on urban park experience? An eye-tracking and virtual reality study
202510 bchyNot applicableSelf-fundedPublished24 monthsGreen (AAM
Unraveling neural patterns across situational awareness levels on hazard recognition behaviors : a fNIRS study
202511 bcelNot applicableRGCThis research study was supported by the General Research Fund ( PolyU 15220519 ) from the Research Grants Council, Hong Kong.Published24 monthsGreen (AAM
Demand analysis of global retail tourism
202509 bcchNot applicableOthersThis work was supported by Mr and Mrs Chan Chak Fu Endowed Professorship Fund and the Project of Strategic Importance of The Hong KongPolytechnic University (1-ZE2S).Published24 monthsGreen (AAM
Multi-level passive-active thermal control for battery thermal runaway prevention and suppression in electric vehicles
202509 bcchNot applicableOthersThis work was supported by Guangdong Basic and Applied Basic Research Foundation (2024A1515012472, 2025A1515011548).Published24 monthsGreen (AAM
Delivery routing for electric vehicles with en-route mobile battery swapping
202509 bcrcNot applicableRGCNational Natural Science Foundation of China [grant numbers 62072258]; the Special Foundation for Philosophy and Social Science Laboratories of Ministry of Education of China [grant number H0123702]; the Asia Research Center in Nankai University [grant number AS2405]; the Fundamental Research Funds for the Central Universities TP-A1 project [grant number 06106300]; the HKSAR RGC CRF Project [grant number C7076_22G]; the HKSAR RGC Research Impact Fund [grant number R7036-22]; The Hong Kong Polytechnic University Research Institute for Advance Manufacturing (RIAM);Published36 monthsGreen (AAM