A5062754879- Advanced Clustering Algorithms Research
- Simulation and Modeling Applications
- Geological Modeling and Analysis
- Advanced Algorithms and Applications
- Geoscience and Mining Technology
- Mineral Processing and Grinding
- 3D Modeling in Geospatial Applications
- Advanced Computational Techniques and Applications
- Infant Health and Development
- Geomechanics and Mining Engineering
- Rock Mechanics and Modeling
- Data Mining Algorithms and Applications
- Acute Ischemic Stroke Management
- Computational Geometry and Mesh Generation
- Vehicular Ad Hoc Networks (VANETs)
- Geotechnical Engineering and Analysis
- Civil and Geotechnical Engineering Research
- Geotechnical Engineering and Underground Structures
- Metaheuristic Optimization Algorithms Research
- Data Management and Algorithms
- Remote Sensing and Land Use
- Face and Expression Recognition
- Intracerebral and Subarachnoid Hemorrhage Research
- Innovative Educational Techniques
- CCD and CMOS Imaging Sensors
Liaoning Technical University
2004-2024
University of Hong Kong
2023
Shanghai Institute of Computing Technology
2013
Aerospace Institute (Germany)
2013
ShenZhen People’s Hospital
2007
Anhui University of Science and Technology
2006
China Railway Major Bridge Reconnaissance & Design Institute (China)
2003
As the geological fault surface divides 3D space of stratified ores and rocks into complex spatial domains, it is necessary to fully consider relationship between intersecting zones bodies in process modeling, how accurately establish finite element mesh a difficult point modeling structure. The laminated body zone multifaceted domain grid model consisting ground-level grid, plane range grid. By analyzing interfaces zones, closed manifold processing method proposed based on which...
While federated learning (FL) improves the generalization of end-to-end autonomous driving by model aggregation, conventional single-hop FL (SFL) suffers from slow convergence rate due to long-range communications among vehicles and cloud server. Hierarchical (HFL) overcomes such drawbacks via introduction mid-point edge servers. However, orchestration between constrained communication resources HFL performance becomes an urgent problem. This paper proposes optimization-based Communication...
Children's safety in the home has become an increasing social concern, and purpose of this experiment is to use machine learning detect child abuse scenarios order improve children's safety. This uses classify recognize voices predict whether current sound making crying, screaming or laughing. If a crying detected from child, immediate alert sent relevant personnel so that they can sense what may be experiencing respond timely manner blind spot surveillance. Together with hybrid video image...
The density of geological exploration boreholes is one the main bases for blasthole charge structure design. Due to low boreholes, it impossible obtain blast hole rock formations' distribution accurately. With development and application intelligent drilling rigs, lithology data can be accurately obtained, a design method based on proposed. collected by rig divided into 7 categories according hardness, adjacent strata with similar are combined two groups soft rocks hard rocks. According...
The development and use of intelligent drilling rigs make it available to obtain accurate lithology data blast drilling. In order full improve blasting efficiency, the following research was carried out. First, a database is established manage store hole recognized by drill. Secondly, taken as sample, inverse distance square method used interpolate range's solid elements generate three-dimensional model rock mass. Afterward, range polygon stope triangle grid are successively in cut 3D mass;...
The determination of the critical sliding surface is a crucial aspect slope stability analysis. Conventional methods often rely on symmetric structures, which may not accurately represent complexities real-world environments. To improve accuracy 3D analysis, this study proposes use irregular ellipsoidal surfaces as surfaces. By constructing equation ellipsoid and applying spatial geometric transformations, an controlled by six parameters, (semi-axis length ( ), width height rotation angle...
The safety of children in home has become an increasing social concern, and the purpose this experiment is to use machine learning applied detect scenarios child abuse increase children. This uses classify recognize a child's voice predict whether current sound made by crying, screaming or laughing. If found be crying screaming, alert immediately sent relevant personnel so that they can perceive what may experiencing surveillance blind spot respond timely manner. Together with hybrid video...
Timely and adequate rehabilitation is critical in facilitating post-stroke recovery. However, the organization delivery of are resource-demanding, only available to approximately 25% stroke survivors low-to-middle-income countries. Improving access services through innovative solutions therefore urgently required. Tele-rehabilitation, which transits care home- community settings, has emerged as a promising solution. current approaches using video tutorial, teleconference, or other...
Various clustering methods based on the behavior of real ants have been proposed. In this paper, we develop a new algorithm in which artificial is governed by fuzzy set. Firstly, define average distance between objects, and domain object similarity. Secondly, similarity objects mapped sets membership function. Finally, given confidence level, will be separated into universal The set decide that pick up or put down object. experiment, spatial data source comes from actual survey mine. LF ant...