Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty

AM Fathollahi-Fard, MA Dulebenets… - Advanced engineering …, 2021 - Elsevier
There is so much interest in online purchasing within supply chain networks nowadays. After
expanding the internet access and services, customers' behavior has changed. Today, a …

Defect-aware transformer network for intelligent visual surface defect detection

H Shang, C Sun, J Liu, X Chen, R Yan - Advanced Engineering Informatics, 2023 - Elsevier
Surface defect detection plays an increasing role in intelligent manufacturing and product
life-cycle management, such as quality inspection, process monitoring, and preventive …

A supervised approach for automated surface defect detection in ceramic tile quality control

Q Lu, J Lin, L Luo, Y Zhang, W Zhu - Advanced Engineering Informatics, 2022 - Elsevier
Surface defect detection is very important to guarantee the quality of ceramic tiles
production. At present, this process is usually performed manually in the ceramic tile …

Challenges of high-yield manufacture in micro-light-emitting diodes displays: chip fabrication, mass transfer, and detection

B Yu, Y Li, J Li, X Ding, Z Li - Journal of Physics D: Applied …, 2024 - iopscience.iop.org
Micro-light-emitting diode (micro-LED) is a promising display technology that offers
significant advantages, including superior brightness, resolution, contrast, energy …

Thfe: a triple-hierarchy feature enhancement method for tiny boat detection

Y Guo, H Yu, L Ma, L Zeng, X Luo - Engineering Applications of Artificial …, 2023 - Elsevier
In boat navigation, especially in complex sea conditions, the detection performance of the
tiny boat is related to the safety of boat sailing. However, due to the tiny boat occupying …

MR-YOLO: An improved YOLOv5 network for detecting magnetic ring surface defects

X Lang, Z Ren, D Wan, Y Zhang, S Shu - Sensors, 2022 - mdpi.com
Magnetic rings are widely used in automotive, home appliances, and consumer electronics.
Due to the materials used, processing techniques, and other factors, there will be top cracks …

A visual defect detection for optics lens based on the YOLOv5-C3CA-SPPF network model

H Tang, S Liang, D Yao, Y Qiao - Optics Express, 2023 - opg.optica.org
Defects in the optical lens directly affect the scattering properties of the optical lens and
decrease the performance of the optical element. Although machine vision instead of …

Identification and classification of mechanical damage during continuous harvesting of root crops using computer vision methods

A Osipov, V Shumaev, A Ekielski, T Gataullin… - IEEE …, 2022 - ieeexplore.ieee.org
Detecting sugar beetroot crops with mechanical damage using machine learning methods is
necessary for fine-tuning beet harvester units. The Agrifac HEXX TRAXX harvester with an …

Sim-YOLOv5s: A method for detecting defects on the end face of lithium battery steel shells

H Hu, Z Zhu - Advanced Engineering Informatics, 2023 - Elsevier
The detection of lithium battery shell defects is an important aspect of lithium battery
production. The presence of pits, R-angle injuries, hard printing, and other defects on the …

Optimization of deep learning model parameters in classification of solder paste defects

A Sezer, A Altan - 2021 3rd international congress on human …, 2021 - ieeexplore.ieee.org
Mass production processes of printed circuit boards (PCBs) are interrupted due to problems
caused by soldering defects during the assembly of surface-mounted semiconductor …