A5048746096- Metaheuristic Optimization Algorithms Research
- Data Management and Algorithms
- Advanced Multi-Objective Optimization Algorithms
- scientometrics and bibliometrics research
- Evolutionary Algorithms and Applications
- Academic Publishing and Open Access
- Vehicle Routing Optimization Methods
- Scheduling and Timetabling Solutions
- Advanced Database Systems and Queries
- Advanced Computational Techniques and Applications
- Scheduling and Optimization Algorithms
- Constraint Satisfaction and Optimization
- Face and Expression Recognition
- High voltage insulation and dielectric phenomena
- Advanced Clustering Algorithms Research
- Social Media in Health Education
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Antenna Design and Analysis
- Image Processing and 3D Reconstruction
- University-Industry-Government Innovation Models
- AI in cancer detection
- Data Stream Mining Techniques
- Advanced Optimization Algorithms Research
- Industrial Vision Systems and Defect Detection
Jilin University
2009-2025
Shanghai Jiao Tong University
2025
La Trobe University
2023-2024
National Institute of Informatics
2009-2024
Xi'an University of Architecture and Technology
2024
Chinese Academy of Sciences
2012-2024
Chinese People's Liberation Army
2024
Aerospace Information Research Institute
2024
Harbin University of Commerce
2024
Chinese PLA General Hospital
2023
Cooperative co-evolution (CC) is an evolutionary computation framework that can be used to solve high-dimensional optimization problems via a "divide-and-conquer" mechanism. However, the main challenge when using this lies in problem decomposition. That is, deciding how allocate decision variables particular subproblem, especially interacting variables. Existing decomposition methods are typically computationally expensive. In paper, we propose new method, which call recursive differential...
Abstract International co‐authorship relations and university–industry–government (Triple Helix) have hitherto been studied separately. Using Japanese publication data for the 1981–2004 period, we were able to study both kinds of in a single design. In file, 1,277,030 articles with at least one address attributed three sectors, know additionally whether these papers coauthored internationally. mutual information four dimensions, respectively, show that Triple‐Helix system has continuously...
Cooperative co-evolution is a framework that can be used to effectively solve large scale optimization problems. This approach employs divide and conquer strategy, which decomposes the problem into sub-components are optimized separately. However, solution quality relies heavily on decomposition method used. Ideally, interacting decision variables should assigned same sub-component interdependency between kept minimum. Differential grouping, recently proposed method, has high accuracy across...
Purpose: Remimazolam is a new type of ultrashort benzodiazepine drug with an unclear optimal dose for general anesthesia induction in elderly patients aged > 60 years. Therefore, this study aimed to determine the effective remimazolam tosilate and explore its correlation bispectral index (BIS). Patients Methods: A total 42 were divided into two age groups: 60– 69 (group A) 70– 85 B) An initial 0.1mg/kg(Group 0.05 mg/kg(Group was administered, Modified Observer’s Assessment Alertness/Sedation...
Solution-processed organic‒inorganic halide perovskite (OIHP) single crystals (SCs) have demonstrated great potential in ionizing radiation detection due to their outstanding charge transport properties and low-cost preparation. However, the energy resolution (ER) stability of OIHP detectors still lag far behind those melt-grown inorganic commercial CdZnTe counterparts absence detector-grade high-quality SCs. Here, we reveal that crystallinity uniformity SCs are drastically improved by...
The high-resolution micro traffic data (HRMTD) of all roadway users is important for serving the connected-vehicle system in mixed situations. roadside LiDAR sensor gives a solution to providing HRMTD from real-time 3D point clouds its scanned objects. Background filtering preprocessing step obtain different data. It can significantly reduce processing time and improve vehicle/pedestrian identification accuracy. An algorithm proposed this paper, based on spatial distribution laser points,...
In this paper we use a divide-and-conquer approach to tackle large-scale optimization problems with overlapping components. Decomposition for an problem is challenging as its components depend on one another. The existing decomposition methods typically assign all the linked decision variables into group, thus cannot reduce original size. To address issue modify Recursive Differential Grouping (RDG) method decompose problems, by breaking linkage at shared multiple evaluate efficacy of our...
Problem decomposition plays an essential role in the success of cooperative co-evolution (CC), when used for solving large-scale optimization problems. The recently proposed recursive differential grouping (RDG) method has been shown to be very efficient, especially terms time complexity. However, it requires appropriate parameter setting estimate a threshold value order determine if two subsets decision variables interact or not. Furthermore, using one global may insufficient identify...
Positron emission tomography (PET) is one of the most advanced imaging diagnostic devices in medical field, playing a crucial role tumor diagnosis and treatment. However, patient motion during scanning can lead to artifacts, which affect accuracy. This study aims develop head monitoring system identify select images with excessive corresponding periods. The system, based on an RGB-D structured light camera, implements facial feature point detection, 3D information acquisition, monitoring,...
Positron emission tomography (PET) is one of the most advanced imaging diagnostic devices in medical field, playing a crucial role tumor diagnosis and treatment. However, patient motion during scanning can lead to artifacts, which affect accuracy. This study aims develop head monitoring system identify select images with excessive corresponding periods. The system, based on an RGB-D structured-light camera, implements facial feature point detection, 3D information acquisition, monitoring,...
Interactions between decision variables typically make an optimization problem challenging for evolutionary algorithm (EA) to solve. Exploratory landscape analysis (ELA) techniques can be used quantify the level of variable interactions in problem. However, many studies using ELA investigate have been limited combinatorial problems, with very few focused on continuous variables. In this paper, we propose a novel measure problems. We evaluated efficacy suite benchmark consisting 24...
Generative adversarial nets (GANs) are widely used to learn the data sampling process and their performance may heavily depend on loss functions, given a limited computational budget. This study revisits MMD-GAN that uses maximum mean discrepancy (MMD) as function for GAN makes two contributions. First, we argue existing MMD discourage learning of fine details in it attempts contract discriminator outputs real data. To address this issue, propose repulsive actively difference among by simply...
The faults of electrical equipment are mainly generated by and mechanical defects, which usually detected external ultrasonic vibration sensors respectively. To improve the accuracy efficiency diagnosis, a novel ultrasound-vibration composite sensor (UVCS) can detect ultrasound acceleration signals synchronously at same place, is proposed developed scientifically in this letter. working principle UVCS based on combination mass backing as well steel base matching layer, structure improved...
After the thermal-mechanical processing of Mg alloys, extensive 30°⟨0001⟩ grain boundaries (GBs) are present in recrystallized structure, which strongly affects mechanical properties via interactions with lattice dislocations. In this work, we systematically investigate how GBs influence slip transmission during plastic deformation. We reveal that basal dislocations can be transmuted into its neighboring and continue gliding on plane. The prismatic dislocation transmit GB remaining same...
Abstract An articulated pipeline walking robot is proposed, which a that can walk on the outer surface of with turning transition and certain climbing ability replace traditional method to improve efficiency inspection maintenance reduce safety risk manual work. The gait outside pipe studied. traveling mode for horizontal pipes, L-type T-type pipes other systems analyzed. robot’s analyzed using D-H coordinate method, shows proposed design feasible.
This study examines the application of blended learning in vocational piano education, focusing on impact classroom dynamics group teaching. Blended learning, which combines traditional face-to-face instruction with online has been increasingly adopted higher education but remains under-explored music particularly China. investigated a basic course at institution China, aiming to understand how affects teaching practices, student engagement, and interactions. The utilized qualitative case...
Constraint programming (CP) is a powerful technique for solving constraint satisfaction and optimization problems. In CP solvers, the variable ordering strategy used to select which explore first in process has significant impact on solver effectiveness. To address this issue, we propose novel based supervised learning, evaluate context of job shop scheduling Our learning-based methods predict optimal solution problem instance use predicted order variables solvers. Unlike traditional...