A5025811153- Caching and Content Delivery
- Rock Mechanics and Modeling
- Distributed Control Multi-Agent Systems
- Civil and Geotechnical Engineering Research
- 3D Shape Modeling and Analysis
- Industrial Vision Systems and Defect Detection
- Advanced Neural Network Applications
- Recommender Systems and Techniques
- Drilling and Well Engineering
- Hydraulic Fracturing and Reservoir Analysis
- Privacy-Preserving Technologies in Data
- Power Systems and Technologies
- Educational Technology and Assessment
- Neural Networks Stability and Synchronization
- Stability and Control of Uncertain Systems
China Mobile (China)
2023-2024
China National Petroleum Corporation (China)
2024
Tiangong University
2019
Tianjin University
2019
The physical properties of shale reservoirs are typically poor, necessitating the use fracturing technology for effective development. However, high clay content prevalent in formations poses significant challenges conventional hydraulic methods. To address this issue, CO2-based fluid has been proposed as an alternative to mitigate damage caused by water-based fluids. In paper, applicability quasi-dry CO2 is examined from three key perspectives: viscosity fluid, fracture characteristics...
This paper proposes a 3D object detection algorithm that combines dynamic convolution with adaptive pooling as extraction (PAC-PAPRCNN). The is divided into two stages. first stage generates feature proposals in bottom-up manner, and the second refines generated stage. Firstly, stage, new type of used to adaptively learn location features points. To classify foreground background points layer, theory applied. Meanwhile, extracted are regression boxes one by one, then box best score selected...
Abstract This paper puts forward a new free‐weight matrix method used to analyse Network control systems (NCSs) with the H ∞ performance index level based on event‐driven control. Firstly, design relative triggering mechanism contain measured output for linear system external disturbances. Secondly, in order reduce conservativeness an appropriate Lyapunov‐Krasovskii function is constructed. For integral term generated after above functional derivation, inequality selected scaling....
This paper focuses on the Mobile Edge Computing-assisted Hierarchical Federated Learning (MEC-HFL) and Non-Independent Identically Distributed (Non-IID) data among edges, especially. To improve learning performance of MEC-HFL systems with fixedly associated edge servers clients, this analyzes process proposes a multi-objective optimization problem which simultaneously minimizes distribution distance maximizes amount through client selection. A Nondominated Sorting Genetic Algorithm-based...