A5101649939- Precipitation Measurement and Analysis
- Medical Image Segmentation Techniques
- Meteorological Phenomena and Simulations
- Radiomics and Machine Learning in Medical Imaging
- Hydrology and Drought Analysis
- AI in cancer detection
- Flood Risk Assessment and Management
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Building Energy and Comfort Optimization
- Solar Radiation and Photovoltaics
- Climate change and permafrost
- Irrigation Practices and Water Management
- Urban Heat Island Mitigation
- Dementia and Cognitive Impairment Research
- Arctic and Antarctic ice dynamics
- Urban Stormwater Management Solutions
- Health and Well-being Studies
- Cryospheric studies and observations
Beijing Jiaotong University
2025
Hubei University of Technology
2024
Huashan Hospital
2024
Fudan University
2024
University of Hong Kong
2023
Zhejiang University
2023
China Institute of Water Resources and Hydropower Research
2018-2020
This study examined the effects of a multicomponent intervention program on cognitive function in community-dwelling older adults with mild impairment (MCI) and subjective decline (SCD).
Whole slide image (WSI) analysis has become increasingly important in the medical imaging community, enabling automated and objective diagnosis, prognosis, therapeutic-response prediction. However, clinical practice, ever-evolving environment hamper utility of WSI models. In this paper, we propose FIRST continual learning framework for analysis, named ConSlide, to tackle challenges enormous size, utilization hierarchical structure, catastrophic forgetting by progressive model updating on...
A well-designed rain gauge network can provide precise and detailed rainfall data for earth science research; meanwhile, satellite precipitation has been developed to generate more real spatial features, which provides new support the improvement of ground station design methods. In this paper, are introduced into a an optimized method designing that comprehensively considers information content, spatiotemporality, accuracy (ISA) is proposed. After screening potential stations, average index...
Urban form is an important factor affecting urban energy. However, the design of and energy mostly belong to two separate disciplines fields, planning research rarely considers their mutual relationship. The available space intensity (ASI) solar formed on basis design; objective this evaluate impact ASI propose strategies for that so as improve efficiency utilization achieve sustainable development. Methodologically, study firstly proposes a model quantify using three indicators: radiation...
Accurate continuous daily evapotranspiration (ET) at the field scale is crucial for allocating and managing water resources in irrigation areas, particularly arid semi-arid regions. The authors integrated modified perpendicular drought index (MPDI) as an indicator of stress into surface energy balance system (SEBS) to improve ET estimation under water-limited conditions. new approach fed with Chinese satellite HJ-1 (environmental disaster monitoring forecasting a small constellation) images...
A reasonable rain gauge network layout can provide accurate regional rainfall data and effectively support the monitoring, development utilization of water resources. Currently, an increasing number design methods based on entropy targets are being applied to design. The discretization is a common method obtaining probability in calculations information entropy. To study application different entropy-based networks, this paper compares analyzes 9 results for rainy season networks using three...
Whole slide image (WSI) analysis has become increasingly important in the medical imaging community, enabling automated and objective diagnosis, prognosis, therapeutic-response prediction. However, clinical practice, ever-evolving environment hamper utility of WSI models. In this paper, we propose FIRST continual learning framework for analysis, named ConSlide, to tackle challenges enormous size, utilization hierarchical structure, catastrophic forgetting by progressive model updating on...