A5100775184- Evolutionary Game Theory and Cooperation
- Evolution and Genetic Dynamics
- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
- Robotic Path Planning Algorithms
- Mathematical and Theoretical Epidemiology and Ecology Models
- Experimental Behavioral Economics Studies
- Evolutionary Psychology and Human Behavior
- Air Traffic Management and Optimization
- Video Coding and Compression Technologies
- Image and Video Quality Assessment
- Wave and Wind Energy Systems
- Autonomous Vehicle Technology and Safety
- Transportation Planning and Optimization
- Wind Energy Research and Development
- Traffic and Road Safety
- Robotics and Sensor-Based Localization
- Fluid Dynamics and Vibration Analysis
- Plant and animal studies
- Advanced Wireless Communication Technologies
- Technology Use by Older Adults
- Vehicle Noise and Vibration Control
- Sustainability and Climate Change Governance
- Electric and Hybrid Vehicle Technologies
- Vehicle Routing Optimization Methods
Beihang University
2009-2025
University of Illinois Urbana-Champaign
2025
Shandong Agricultural University
2022-2024
Southwest University of Political Science & Law
2024
Texas State University
2024
Zhejiang Sci-Tech University
2022
Jiangsu University of Science and Technology
2022
Ministry of Industry and Information Technology
2018-2021
Jiangxi Science and Technology Normal University
2020
South China University of Technology
2017
An efficient and accurate estimation of wheat growth yield is important for assessment field management. To improve the accuracy stability estimation, an method based on a genetic algorithm-improved support vector regression (GA-SVR) algorithm was proposed in this study. The correlation analysis between vegetation indices calculated from spectral data phenotypes yields performed to obtain optimal combination with high good performance. At same time, model monitoring screened constructed...
RGB-D salient object detection (SOD), aiming to highlight prominent regions of a given scene by jointly modeling RGB and depth information, is one the challenging pixel-level prediction tasks. Recently, dual-attention mechanism has been devoted this area due its ability strengthen process. However, most existing methods directly fuse attentional cross-modality features under manual-mandatory fusion paradigm without considering inherent discrepancy between depth, which may lead reduction in...
Dynamic multimodal optimization problems (DMMOPs) represent the that optimal solution changes over time. Due to wide application of DMMOPs in reality, some related algorithms have been proposed recent years. Most existing employ a single dynamic response mechanism and embed it multi-modal evolutionary algorithms. However, these often perform limited when environmental change involves multiple types, they fail consider utilizing historical information assist static optimizers. To solve...
The thriving advances in autonomous vehicles and aviation have enabled the efficient implementation of aerial last-mile delivery services to meet pressing demand for urgent relief supply distribution. Variable Neighborhood Search (VNS) is a promising technique emergency scheduling. However, existing VNS methods usually exhaustively explore all considered neighborhoods with prefixed order, leading an inefficient search process slow convergence speed. To address this issue, paper proposes...
Poorly designed devices can cause flow maldistribution, leading to subpar performance during macromolecule separation. Analyzing the fluid in intricate membrane channel structures is challenging. In this study, computational dynamics (CFD) was employed investigate effects of tortuosity, size, and connectivity on distribution chromatography performance. Sodium chloride (NaCl) bovine serum albumin (BSA) were used as tracers. The results showed that peaks from NaCl BSA sharper tortuosity size...
In this paper, we are concerned with exploring the theoretically and technically research outcomes for conflict resolution (CR) of multiple unmanned aerial vehicles (UAVs) by using Internet Things technologies. We propose a satisficing algorithm to mitigate CR problem UAVs. Specifically, first formulate as game model design strategies based on flight characteristics Next, theory is used formulated problem. Furthermore, required time arrival, which new judgment parameter strategy utility,...
Airspace complexity is a key indicator that reflects the safety of airspace operations in air traffic management systems. Furthermore, to achieve efficient control, it necessary accurately predict complexity. In this article, we propose novel spatiotemporal hybrid deep learning model for prediction efficiently capture spatial correlations as well temporal dependencies pertaining data. Specifically, apply convolutional networks discover short-term patterns and skip long memory long-term...
The effect of rotation on small-scale characteristics and scaling law in the mixing zone three-dimensional turbulent Rayleigh-Taylor instability (RTI) is investigated by lattice Boltzmann method at small Atwood number. width h(t), root mean square scale fluctuation, spectra, structure functions are obtained to analyze rotating effect. We mainly focus process development plumes discuss physical mechanism nonrotating systems. variation kinetic energy spectra E_{u} temperature E_{θ} with...
A cellular unmanned-aerial-vehicle (UAV)-enabled system is studied in this research, where multiple UAVs work cooperatively to upload the collected sensory data base station (BS). The form a two-tier network with two kinds of communication modes, i.e., UAV-to-Network (U2N) and UAV-to-UAV (UAV) communications. We investigate resource allocation for maximize aggregate energy efficiency system. formulated problem mixed-integer NP-hard. To make tractable, an efficient matching-based algorithm...
An unmanned-aerial-vehicle (UAV)-aided communication scenario is studied in this research, where a UAV with constrained on-board battery capacity communicates multiple ground users (GUs) during the flying process. We investigate trajectory as well resource allocation to minimize time consumption of specific task. The formulated problem non-convex innumerable variables. To make tractable, collection line segments are utilized represent real through discretization. reformulated solved by...