Yueqiu Jiang

ORCID: 0000-0003-2770-1010
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About
Contact & Profiles
Research Areas
  • Remote Sensing and Land Use
  • Infrared Target Detection Methodologies
  • Metaheuristic Optimization Algorithms Research
  • Maritime Navigation and Safety
  • Image and Signal Denoising Methods
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Vehicle License Plate Recognition
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced Measurement and Detection Methods
  • DNA and Biological Computing
  • Advanced SAR Imaging Techniques
  • Advanced Image Fusion Techniques
  • Optical Systems and Laser Technology
  • E-commerce and Technology Innovations
  • Spectroscopy and Chemometric Analyses
  • Autism Spectrum Disorder Research
  • Image and Object Detection Techniques
  • Water Quality Monitoring and Analysis
  • Industrial Vision Systems and Defect Detection
  • Advanced Multi-Objective Optimization Algorithms

Shenyang Ligong University
2022-2025

Infrared-visible image fusion (IVIF) is an important part of multimodal (MMF). Our goal to combine useful information from infrared and visible sources produce strong, detailed, fused images that help people understand scenes better. However, most existing methods based on convolutional neural networks extract cross-modal local features without fully utilizing long-range contextual information. This limitation reduces performance, especially in complex scenarios. To address this issue, we...

10.3390/electronics14040731 article EN Electronics 2025-02-13

Aiming to address the complex degenerate primer design problem in biological field, this paper, we a optimization model considering coverage and degeneracy that allows small number of base mismatches, propose global method based on artificial bee colony algorithm. The proposed algorithm combines idea ant with process algorithm, overcomes disadvantage uncertain candidate solution length solving discrete problems, designs search space according construction redesigns various foraging...

10.3390/app12104992 article EN cc-by Applied Sciences 2022-05-15

The Internet of Things (IoT) has emerged as a popular topic in both industrial and academic research. IoT devices are often equipped with rapid response capabilities to ensure seamless communication interoperability, showing significant potential for IoT-based maritime traffic monitoring navigation safety tasks. However, this also presents major challenges surveillance systems. diversity variability collected data substantial. Visual image ship detection is crucial tasks, yet it must contend...

10.3390/electronics13234591 article EN Electronics 2024-11-21

Automatic target recognition technology is an important research direction in the field of machine vision. Artificial ground targets, such as bridges, airports and houses, are mostly composed straight lines. The ratio geometric primitive lines to triangle area formed by their combination used feature quantity describe group lines, so characterize artificial target. In view shortcomings traditional edge detection methods, background suppression, non-prominent missing positions, etc., this...

10.3390/app13053163 article EN cc-by Applied Sciences 2023-03-01

For the existed biological degenerate primer design problem, a solution method based on an ant colony optimization algorithm is proposed, in which model considers coverage as well degeneracy while allowing for small number of base mismatches. Using construction graph model, makes full use dynamic change information during iterative optimal path process, strengthens explored new pheromone, and selects primers that meet constraints. The results DNA template sequence matching experiments show...

10.1155/2023/8679509 article EN cc-by Discrete Dynamics in Nature and Society 2023-04-18
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