A5088582121- Precipitation Measurement and Analysis
- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Hydrological Forecasting Using AI
- Human Pose and Action Recognition
- Soil and Water Nutrient Dynamics
- Flood Risk Assessment and Management
- Water Quality and Pollution Assessment
- Spectroscopy Techniques in Biomedical and Chemical Research
- Soil Moisture and Remote Sensing
- Layered Double Hydroxides Synthesis and Applications
- Phosphorus and nutrient management
- Forecasting Techniques and Applications
- Reservoir Engineering and Simulation Methods
- Arctic and Antarctic ice dynamics
- Gold and Silver Nanoparticles Synthesis and Applications
- Adsorption and biosorption for pollutant removal
- Energy Load and Power Forecasting
- Stock Market Forecasting Methods
- Urological Disorders and Treatments
- Model Reduction and Neural Networks
- Climate change and permafrost
- Urban Stormwater Management Solutions
- Augmented Reality Applications
Pennsylvania State University
2024-2025
Harbin Institute of Technology
2024-2025
Beijing Normal University
2022-2023
McMaster University
2022
Heilongjiang University
2022
Harbin Medical University
2022
Henan University of Technology
2021
Tsinghua University
2021
Beijing Hua Xin Hospital
2021
Jilin University
2016
Numerous gridded precipitation (P) datasets have been developed to address a variety of needs and challenges. However, selecting the most suitable reliable dataset remains challenge for users. We conducted comprehensive global evaluation date (sub-)daily $P$ using hydrological modeling. A total 23 datasets, derived from satellite, model, gauge sources, or their combinations thereof, were assessed. To evaluate performance, we calibrated conceptual model HBV against observed daily streamflow...
Abstract Hydrological modeling in the Third Pole remains challenging due to complex topography and scarcity of in-situ precipitation observations. In this study, we assessed five satellite products (SPPs) including TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, GSMaP, simulated daily streamflow Yarlung Zangbo River Basin (YZRB) with VIC model. The performance SPPs was evaluated by CC , RB RMSE POD FAR compare Overall, all showed decreasing trends from east west compared 10 km rainfall data....
Abstract. Numerous gridded precipitation (P) datasets have been developed to address a variety of needs and challenges. However, selecting the most suitable reliable dataset remains challenge for users. We conducted comprehensive global evaluation date (sub-)daily P using hydrological modeling. A total 23 datasets, derived from satellite, model, gauge sources, or their combinations thereof, were assessed. To evaluate performance, we calibrated conceptual model HBV against observed daily...
Continental and global water models have long been trapped in slow growth inadequate predictive power, as they are not able to effectively assimilate information from big data. While Artificial Intelligence (AI) greatly improve performance, purely data-driven approaches do provide strong enough interpretability generalization. One promising avenue is “differentiable” modeling that seamlessly connects neural networks with physical modules trains them together deliver...
Skeleton-based temporal action segmentation (TAS) decomposes untrimmed skeleton sequence into meaningful segments. The variance in scale challenges the modeling network to seek a balance between over-segmentation and under-segmentation. Current methods often rely on parallel multiscale feature extractors additional refinement modules mitigate issue, which brings significant computations complexity. To address these issues, this article proposes skeleton-based TAS (MSTAS), consisting of...
The skeleton-based temporal action segmentation (STAS) aims to densely segment and classify human actions within lengthy untrimmed skeletal motion sequences. Current methods primarily rely on graph convolutional networks (GCNs) for intraframe spatial modeling (TCNs) interframe discern patterns. However, these approaches often overlook the distinctive nature of essential elements across various actions, including engaged core body parts key subactions. This oversight limits ability...
Comprehending the impacts of climate change on regional hydrology and future projections water supplies is great value to manage resources in Yarlung Zangbo River Basin (YZRB). However, large uncertainties from both input data model itself exert obstacles accurate projections. In this work, a hydrological modeling framework was established over YZRB linking Variable Infiltration Capacity (VIC) with an empirical formulation, called degree-day glacier-melt scheme (VIC–Glacier). The performance...
Abstract In this study, magnetic Mg/Fe hydrotalcite calcined material (M-CHT) was synthesized through the co-precipitation and calcination method, used to effectively remove nitrate nitrite from water. M-CHT can restore its original layered structure after adsorption of or nitrite, be easily separated by an applied field. The first-order pseudo-second-order kinetic models (R2 ≥ 0.97) better describe process. equilibrium isotherm showed that Langmuir model provided a fit experimental data...
Skeleton-based Temporal Action Segmentation involves the dense action classification of variable-length skeleton sequences. Current approaches primarily apply graph-based networks to extract framewise, whole-body-level motion representations, and use one-hot encoded labels for model optimization. However, whole-body representations do not capture fine-grained part-level neglect intrinsic semantic relationships within language-based definitions. To address these limitations, we propose a...
Ileal neobladder construction is a common treatment for patients with bladder cancer after radical cystectomy. However, metabolic disorders caused by transposed bowel segments occur frequently. Bladder tissue engineering promising alternative approach. Although numerous studies have reported reconstruction using acellular and cellular scaffolds, there are also disadvantages associated these methods, such as immunogenicity of synthetic grafts incompatible mechanical properties the...
In general, forecasting on stock prices is a famous and interesting area that gathers many researchers in. Contemporarily, after the birth of AI, number algorithms used in prediction equity market fluctuation are boomed rapidly. Applying combination statistics can help as well investors learn about either short-term regulation (such opening price) or long-term movement. This paper discusses three kinds models which to predict price for long short term. Specifically, some empirical results...
Precipitation, as an important driver of hydrological processes, plays role in the accurate modelling. Due to rare gauged rainfall data, research has face great challenges Yarlung Zangbo River basin. In this study, several common satellite precipitation products (TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, and GSMaP) were used input for distributed model (VIC model) simulate streamflow Correlation Coefficient ( CC ), Relative Bias RB ) , Root Mean Square Error RMSE Standard Deviation STD...
Path-planning is a technology applied widely in many fields such as auto navigation, logistics management, robotics and so forth.In this paper, an intelligent visual pathplanning framework (IVPF) proposed for developing path-planning system, which consists of complex graphs drawing module, two dimension path-finding algorithms, map processing collision network communication module.The method evaluated on graphic efficiency test server stress test.The experimental result shows that IVPF could...
Due to human activities, the overabundance of regional nitrogen/ phosphorus (N/P) has a huge impact on ecological environment worldwide. It’s quite necessary comprehensively understand human-induced N/P inputs and spatiotemporal variations nutrients in river. As adjustment spatial structure Beijing, Beijing’s sub-center is an important strategic position promoting coordinated development Beijing-Tianjin-Hebei. In this study, dynamic changes NH N TP from 2012 2022 were analyzed, then net...