Jie Gao

ORCID: 0000-0002-6612-8889
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About
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Research Areas
  • Digital Transformation in Industry
  • Advanced Vision and Imaging
  • Sustainable Supply Chain Management
  • Astronomical Observations and Instrumentation
  • Geophysics and Gravity Measurements
  • Manufacturing Process and Optimization
  • Video Surveillance and Tracking Methods
  • Quality Function Deployment in Product Design
  • Radio Astronomy Observations and Technology
  • Advanced Image Processing Techniques
  • Image Processing Techniques and Applications
  • Astronomy and Astrophysical Research
  • Advanced Computational Techniques and Applications
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Economic and Technological Systems Analysis
  • Asphalt Pavement Performance Evaluation
  • Supply Chain Resilience and Risk Management
  • Advanced Algorithms and Applications
  • Traffic Prediction and Management Techniques
  • Energy and Environmental Sustainability
  • Evaluation Methods in Various Fields
  • Infrared Target Detection Methodologies
  • Image Retrieval and Classification Techniques
  • Educational Technology and Assessment
  • Advanced Sensor and Control Systems

East China Jiaotong University
2025

Shanxi University
2024

Shandong Institute of Business and Technology
2024

Chongqing University of Science and Technology
2024

Taiyuan University of Science and Technology
2021

Sichuan Tourism University
2016

Tsinghua University
2016

Beihang University
2012-2014

Nanjing University of Posts and Telecommunications
1998-2000

Abstract The predictive performance of probabilistic pavement condition deterioration is critical for effective maintenance and rehabilitation decisions. Currently, numerous improved models exist, but few rely on to improve prediction. Therefore, this study proposed an model prediction based the coupling Bayesian neural network (BNN) cuckoo search (CS) algorithm. evaluated against two metrics: determination coefficient (R 2 ) standard deviation (stability). Finally, data from management...

10.1038/s41598-025-92469-9 article EN cc-by Scientific Reports 2025-03-13

The dual-channel closed-loop supply chain (CLSC) which is composed of one manufacturer and retailer under uncertain demand an indirect channel constructed. In this paper, we establish three pricing models decentralized decision making, namely, the Nash game between retailer, manufacturer-Stackelberg game, retailer-Stackelberg to investigate decisions CLSC in uses direct sell products entrusts collect used products. We numerically analyze impact customer acceptance (<mml:math...

10.1155/2016/6053510 article EN cc-by Mathematical Problems in Engineering 2016-01-01

Cloud manufacturing (CM) promotes the development of small and medium-sized enterprises (SMMEs) by integrating resources collaboratively providing users with diversified services. However, implementation CM for SMMEs faces several challenges, such as excessive centralization enterprise management, poor dynamic adaptability service composition, insecurity data information. To address these issues, this paper proposes a DNA-like blockchain model (DNABM) based on technology. The DNABM consists...

10.1080/0951192x.2024.2382206 article EN International Journal of Computer Integrated Manufacturing 2024-07-29

3D affine measurement, geometrical modeling and further rendering of the scene are achieved through uncalibrated single view perspective-projecting image under minimum constraints. The constraints contain vanishing points also corresponding measured distances along XYZ directions. camera internal calibration parameters external between coordinates system world not required. Firstly, algorithm proportional or full real based on given; Secondly, examples shot images presented. experimental...

10.1109/csip.2012.6309109 article EN 2012-08-01

Manufacturing service composition and optimal selection (SCOS) is a key technology that improves resource utilization reduces the cost in discrete manufacturing. However, lack of evaluation function unconformity actual vague characteristics, resulting incomplete composition. Additionally, various optimization algorithms have defects premature convergence low efficiency. At same time, fitness value distribution has non-linear characteristic. In this article, framework called manufacturing...

10.1177/1063293x211032343 article EN Concurrent Engineering 2021-08-06

Object-based segmentation is a popular and key technology in video processing field. Its applications are extended to retrieval, index, visual communication, remote sensing, virtual reality, etc. The quality of affects the following process. Currently, object-based still premature. This article gives an overview existing techniques for segmentation. performance, merits limitations some important advanced methods discussed contrasted. As conclusion, paper proposes several problems further study.

10.1109/iccsee.2012.61 article EN International Conference on Computer Science and Electronics Engineering 2012-03-01

Abstract Service composition and optimal selection (SCOS) is a core issue in cloud manufacturing (CMfg) when integrating distributed services for complex tasks. Generally, set of recommended task parameter sequences (Tps) will be given publishing The similarity between the service sequence (SCps) Tps also reflects rationality composition. However, various evaluation models based on QoS have been proposed, ignoring SCps. Considering SCps an model, we propose SCOS framework called MSCOS....

10.1007/s44196-021-00054-5 article EN cc-by International Journal of Computational Intelligence Systems 2021-12-01

As an important part of the transmission channel, intelligent monitoring construction operation status pole tower is research direction inspection channel. The development artificial intelligence technologies such as deep learning provides good conditions for poles and towers. However, application models requires high-quality sample data. At present, there still a small library set database that can be used model positive significance channels. This study focuses on characteristics satellite...

10.1117/12.2674620 article EN International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021) 2023-05-23
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