A5050670610- Optimization and Variational Analysis
- Advanced Optimization Algorithms Research
- Advanced MIMO Systems Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Blockchain Technology Applications and Security
- Privacy-Preserving Technologies in Data
- Space Exploration and Technology
- Fixed Point Theorems Analysis
- IoT and Edge/Fog Computing
- Heat Transfer and Boiling Studies
- Spacecraft and Cryogenic Technologies
- Planetary Science and Exploration
- Heat Transfer and Optimization
- Cooperative Communication and Network Coding
- Energy Harvesting in Wireless Networks
- Topology Optimization in Engineering
- Contact Mechanics and Variational Inequalities
- Mobile Ad Hoc Networks
- Neural and Behavioral Psychology Studies
- Video Coding and Compression Technologies
- High-Velocity Impact and Material Behavior
- Numerical methods in inverse problems
- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
- Full-Duplex Wireless Communications
Shandong University of Technology
2021-2025
Guilin University of Electronic Technology
2015-2025
Xi'an University of Architecture and Technology
2025
Guangxi University
2025
Nanjing University of Aeronautics and Astronautics
2021-2024
Affiliated Zhongshan Hospital of Dalian University
2014-2024
Xinxiang Central Hospital
2016-2024
Harbin University
2024
Wuhan University of Technology
2021-2024
Xi’an University of Posts and Telecommunications
2023
With the wide application of mobile healthcare systems, total amount data is ever increasing rapidly as users interact with service providers frequently. This leads to a challenging task manage data. Existing work mainly pay attention centralized and blockchain-based mechanisms. But they cannot adapt global suffer from complex challenges, respectively. Decentralized collaborative management assisted by edge computing exhibits major advantages in improving overall system performance. We...
Most existing multi-unmanned aerial vehicle (multi-UAV) systems focus on fly path or energy consumption for task assignment, while little attention has been paid to the dynamic feature of task, resulting in poor completion ratio. The machine learning (ML) paradigm provides new methodologies assignment. However, ML methods are usually heavy resource-consumption that cannot be directly applied UAV. In this paper, a digital twin (DT) assisted assignment approach is proposed improve...
With the repaid development of Internet Vehicles (IoV), more available resources and energy-efficient optimizations in scheduling are exactly required for large-scale network implementation sustainable development. We observe that parked vehicles (PVs) have rich underutilized task execution. By them as general computing nodes to undertake computation tasks, we introduce a new paradigm, named by vehicular (PVC). There exists some challenging issues be addressed facilitation PVC. In...
With the advancement of green economy, influence environmental regulations on technological innovation and economy is increasingly expanding. This paper investigates impact corporate economy. We hope to explore how affect through innovation. Thus, research aims enhance our understanding By incorporating fixed-effects models, mediation spatial regression analysis, this unveils process The findings are as follows: (1) show direct capacity facilitate elevation (2) Through mediating variable...
Broadband visible light-absorbing triplet photosensitizers with rhodamine as the energy donor and styryl Bodipy acceptor/spin converter were prepared.
To reduce distribution risk and improve the efficiency of medical materials delivery under major public health emergencies, this paper introduces a drone routing problem with time windows. A mixed-integer programming model is formulated considering contactless delivery, total travel time, customer service Utilizing Dantzig–Wolfe decomposition, proposed optimization converted into path-based master pricing subproblem based on an elementary shortest path resource constraints. We embed pulse...
In this work, we propose two new iterative schemes for finding an element of the set solutions a non-monotone, Lipschitz continuous variational inequality problem in real Hilbert spaces. The weak convergence theorems sequence generated by proposed algorithms are presented. Finally, some numerical examples given to illustrate effectiveness algorithms.
Industrial Metaverse leverages the Internet of Things (IIoT) to integrate data from diverse devices, employing federated learning and meta-computing train models in a distributed manner while ensuring privacy. Achieving an immersive experience for industrial necessitates maintaining balance between model quality training latency. Consequently, primary challenge tasks is optimizing overall system performance by balancing This paper designs satisfaction function that accounts size, Age...
Machine learning is increasingly becoming a powerful tool to make decisions in wide variety of applications, such as medical diagnosis and autonomous driving. Privacy concerns related the training data unfair behaviors some with regard certain attributes (e.g., sex, race) are more critical. Thus, constructing fair machine model while simultaneously providing privacy protection becomes challenging problem. In this paper, we focus on design classification fairness differential guarantees by...
The purpose of this paper is to study the convergence analysis an iterative algorithm with inertial extrapolation step for finding approximate solution split monotone inclusion problem in real Hilbert spaces. Weak sequence iterates generated from proposed method obtained under some mild assumptions. Some special cases general are given and we give numerical implementations support theoretical justification addition method.
This paper presents a new method of using electric and magnetic coupling cancellation to extend the stopband bandpass filters (BPFs). The mechanism is theoretically analyzed based on lumped-element equivalent circuit. Due between two resonators, three transmission zeros (TZs) can be generated controlled by manipulating strength. Using proposed together with source-load coupling, low temperature cofire ceramic (LTCC) BPF designed four TZs at passband edges within stopband, resulting in high...
To achieve the maximum network energy efficiency (EE) and guarantee fairness of EE among cognitive users (CUs), respectively, in massive multiple-input multiple-output radio network, we investigate two power optimization problems: problem (NEP) fair (FEP) under a practical consumption model. Because fractional nature interference, both NEP FEP are non-convex NP-hard. tackle these issues, propose energy-efficient control algorithms, which decompose NEP/FEP into steps, solve them with an...
Water conservancy personnel usually need to know the water level by gauge images in real-time and with an expected accuracy. However, accurately recognizing from is still a complex problem. This article proposes composite method applied Wuyuan City, Jiangxi Province, China. can detect areas number changeable scenes, line various gauges, finally, obtain accurate value. Firstly, FCOS improved fusing contextual adjustment module meet requirements of edge computing ensure considerable detection...
To identify MRI features of hepatocellular carcinoma (HCC) that predict microvascular invasion (MVI) and postoperative intrahepatic recurrence in patients without peritumoral hepatobiliary phase (HBP) hypointensity.One hundred thirty with HCC who underwent preoperative gadoxetate-enhanced curative hepatic resection were retrospectively reviewed. Two radiologists reviewed all MR images assessed the radiological HCCs. The ability HBP hypointensity to MVI was analyzed. We then predicted...