- Coal Properties and Utilization
- Hydrocarbon exploration and reservoir analysis
- Maritime Navigation and Safety
- Rock Mechanics and Modeling
- Drilling and Well Engineering
- Hydraulic Fracturing and Reservoir Analysis
- Machine Learning and ELM
- Thermochemical Biomass Conversion Processes
- Customer Service Quality and Loyalty
- Structural Integrity and Reliability Analysis
- Evaluation Methods in Various Fields
- Domain Adaptation and Few-Shot Learning
- Methane Hydrates and Related Phenomena
- Enhanced Oil Recovery Techniques
- Auditing, Earnings Management, Governance
- Ship Hydrodynamics and Maneuverability
- Consumer Market Behavior and Pricing
- Energetic Materials and Combustion
- Tensor decomposition and applications
- Multimodal Machine Learning Applications
- Currency Recognition and Detection
- Fault Detection and Control Systems
- Digital Media and Visual Art
- Coal and Its By-products
- Corporate Social Responsibility Reporting
China Waterborne Transport Research Institute
2023-2024
China University of Mining and Technology
2020-2023
New Jersey Institute of Technology
2022
Alibaba Group (China)
2021
Ministry of Education of the People's Republic of China
2021
China National Petroleum Corporation (China)
2021
Chevron (United States)
2019
Dalian Maritime University
2013-2018
Central Michigan University
2009-2010
Guizhou Normal University
2004
Abstract In southwestern China karst rocky desertification (a process of land degradation involving serious soil erosion, extensive exposure basement rocks, drastic decrease productivity and the appearance a desert‐like landscape) results from irrational use on fragile, thin soil. Soil particles in Guizhou plateau were accumulated predominantly residues left behind after dissolution carbonate thickness layer is related to amount argillaceous substances lost rock. This paper examines spatial...
In this paper, we propose a novel dynamic fuzzy ship domain that considers factors associated with both one's own and other ships. This is in contrast to existing models operate from the perspective of ship, considering only relevant ship. First, was determined by distance ships around different directions, which sufficiently accounts for At same time, were chosen based on an analysis their importance. Second, modelled establishing relationship between size directions obtained using neural...
Abstract While ESG initiation and disclosure may help newly listed companies maintain a social license to operate, mitigate information asymmetry, attract investor attention, it impose significant costs on initial public offering (IPO) firms magnify agency problems. Using sample of 1102 IPOs issued in the U.S data from MSCI between 1999 2016, paper empirically tests competing hypotheses examines influence performance survivability IPOs. We document that (1) voluntary reduces IPO failure...
Optimal store placement aims to identify the optimal location for a new brick-and-mortar that can maximize its sale by analyzing and mining users’ preferences from large-scale urban data. In recent years, expansion of chain enterprises in cities brings some challenges because two aspects: (1) data scarcity cities, so most existing models tend not work (i.e., overfitting), superior performance these works is conditioned on training samples; (2) distribution discrepancy among different...
Abstract The current in situ stress regime is of great significance to the exploration and development coalbed methane (CBM). In this study, vertical ( ), maximum horizontal principal minimum ) Liupanshui Coalfield were studied. Variations envelopes trend lines lateral pressure coefficient with depth obtained, non‐monotonic decrease permeability burial was determined. On basis, effect on coal reservoir evaluated. results show that average gradient main seam 0.024 MPa/m. Generally, there are...
With the increasing volume of ship traffic, maritime traffic safety is facing a great challenge because in port becomes more and crowded complicated, which will make collisions likely to happen. As special water area port, anchorage also threatened by collision risk all time. For accurately assessing its adjacent waters real time, this paper proposed an analytic model based on Automatic Identification System (AIS) data. The was established microscopic, macroscopic, complexity aspects,...
Store site recommendation aims to predict the value of store at candidate locations and then recommend optimal location company for placing a new brick-and-mortar store. Most existing studies focus on learning machine or deep models based large-scale training data chain stores in same city. However, expansion enterprises cities suffers from scarcity issues, these do not work city where no has been placed (i.e., cold-start problem). In this article, we propose unified approach recommendation,...
The commingled exploitation of coal measure reservoirs has become the main trend in development coalbed methane (CBM) central and southern Qinshui Basin. In fact, porosity permeability (P&P) evolution their stress sensitivity are a focus basic theory commingling exploitation. this study, area taken as research object, P&P characteristics under different overburden pressure conditions were investigated by experiments on coal, sandstone, mudstone. results show that decreases negative...
Understanding bond (debt) valuation and predicting future prices are of great importance in finance. Bonds a major source long-term capital U.S. financial markets along with stocks. However, compared stocks, bonds understudied. One main reason is the infrequent trading secondary market, which results irregular intervals missing observations. This paper attempts to overcome this challenge by leveraging network information from bond-fund holding data proposes novel method predict (yields). We...
Nonnegative Matrix Factorization (NMF) is among the most popular subspace methods, widely used in a variety of image processing problems. However, this approach very time-consuming face recognition due to extreme high dimensionality original matrix. To remedy limitation, paper presents Decorrelation-based NMF (DNMF) method. The proposed algorithm first takes into account dimension reduction matrix by preprocessing decorrelation spatial domain, and then uses nearest neighbor classifier on...
Abstract Refracturing of existing producing wells is an economical option for increasing production when compared to new drills (Urban et al., 2016; French 2014). However, stage isolation during refracturing horizontal can be a challenge, especially in open-hole wells. Segmentation with common mechanical tools high risk and costly, even ineffective sometimes. This paper presents tool-free technology tight oil reservoir employing chemical diverting agents real time microseismic monitoring...
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