A5020313965- Geoscience and Mining Technology
- Video Coding and Compression Technologies
- Image and Video Quality Assessment
- Geomechanics and Mining Engineering
- Network Traffic and Congestion Control
- Landslides and related hazards
- Rock Mechanics and Modeling
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- BIM and Construction Integration
- Gaze Tracking and Assistive Technology
- Advanced Graph Neural Networks
- Evolutionary Algorithms and Applications
- Aquatic and Environmental Studies
- Acute Kidney Injury Research
- Winter Sports Injuries and Performance
- Coal Properties and Utilization
- Neurological Complications and Syndromes
- Machine Learning in Materials Science
- Immunotherapy and Immune Responses
- Smart Grid and Power Systems
- Traffic Prediction and Management Techniques
- Vehicle emissions and performance
- Antimicrobial Peptides and Activities
- Cryospheric studies and observations
Yanshan University
2023
Chinese People's Liberation Army
2022
82th Hospital of Pla
2022
China University of Mining and Technology
2019-2021
University of California, Los Angeles
2020
China University of Petroleum, Beijing
2013
Dust pollution is one of the most severe environmental issues in open pit mines, hindering green mining development. Open mine dust has characteristics multiple dust-generating points, irregular, influenced by climatic conditions, and a high degree distribution with wide dispersion range three dimensions. Consequently, evaluating quantity controlling are crucial for supporting mining. In this paper, monitoring above was carried out an unmanned aerial vehicle (UAV) on board. The patterns were...
We aim at solving the problem of predicting people's ideology, or political tendency. estimate it by using Twitter data, and formalize as a classification problem. Ideology-detection has long been challenging yet important Certain groups, such policy makers, rely on to make wise decisions. Back in old days when labor-intensive survey-studies were needed collect public opinions, analyzing ordinary citizens' tendencies was uneasy. The rise social medias, Twitter, enabled us gather citizen's...
In recent years, super-long and super-large diameter pipe piles have been gradually applied to the foundation in Yellow River flood area. However, its bearing mechanism is not clear, especially unclear characteristics of pile under eccentric state, which limits application development. this regard, paper uses method combining field test numerical simulation analyze different lengths, diameters, diameter-thickness ratios, offsets. Combined with specific deviation form pile, calculation...
An experimental study shows that a critical effective stress value exists, and coal permeability does not increase or decrease monotonously with temperature as previous researchers had thought. When is more than this value, decreases rises; when less the opposite law will appear. Also, based on dimension analysis multiple regression, combining data analysis, develops model, which has high accuracy. Using study's method, similar model suitable for other target zones can be established. So...
The acquisition of bridge frequency by using the ubiquitous ordinary passenger vehicles and smartphones in cities has attracted an increasing amount attention. This study proposes a monitoring method develops vehicle–bridge crowdsourcing (VBCM) platform for public participation. It takes carried as terminals long-term task. To validate feasibility available smartphone brands signal collector, small shake table test is out processing scheme sampling data investigated. A sensor gain technique...
For the support problem of super‐large section cut in working face with large mining height, 1105 pilot chamber Zhaogu No. 2 Mine, roof strata structure detection and movement rule research were conducted. The results prove that concentrate fracture area, gradually sparse rare area regularly distributed from surface to deep cut, less exists rock stratum above 3.5 m, within range 4–6 m is stable. Authors propose long bolt cable combined supporting technology optimized design plan applying...
Accurate prediction of photovoltaic (PV) power generation is crucial for the seamless integration renewable energy sources into electrical grid, considering challenges posed by inherent uncertainty in PV generation. This paper presents a novel method called Time-Space-Attention Spectral-Time Graph Neural Networks (Time-Space-Attention STGNN), which leverages spatial-temporal relationship within systems to achieve better understanding and variations.The proposed conducts multivariate analysis...
At present, there are mainly three research ways on the distribution of snow load: field measurement, experimental simulation, and numerical simulation. They all need expensive equipment, specimen model used only once, slight defective simulation software. Artificial Neural Networks (ANNs) rely a large number input functions to estimate unknown or known occurrences. This paper applies ANNs predict uneven loads. First, load database is collected set up, including data from measurement Second,...
At present, there are mainly three research ways on the distribution of snow load: field measurement, experimental simulation, and numerical simulation. They all need expensive equipment, specimen model used only once, slight defective simulation software. Artificial Neural Networks (ANNs) rely a large number input functions to estimate unknown or known occurrences. This paper applies ANNs predict uneven loads. First, load database is collected set up, including data from measurement Second,...
Training labels for graph embedding algorithms could be costly to obtain in many practical scenarios. Active learning (AL) are very helpful the most useful training while keeping total number of label queries under a certain budget. The existing Graph Embedding framework proposes use centrality score, density and entropy score evaluate value unlabeled nodes, it has been shown capable bringing some improvement node classification tasks Convolutional Networks. However, when evaluating...