A review of deep learning-based approaches for defect detection in smart manufacturing
Z Jia, M Wang, S Zhao - Journal of Optics, 2024 - Springer
Automatic detection of surface faults or defects from images plays a crucial role in ensuring
quality control in smart manufacturing. Traditional image processing techniques have …
quality control in smart manufacturing. Traditional image processing techniques have …
Density estimation of SARS-CoV2 spike proteins using super pixels segmentation technique
BA Taha, Q Al-Jubouri, Y Al Mashhadany… - Applied soft …, 2023 - Elsevier
The worldwide outbreak of COVID-19 disease was caused by the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV 2). The existence of spike proteins, which allow these …
syndrome coronavirus 2 (SARS-CoV 2). The existence of spike proteins, which allow these …
Comprehensive survey of deep learning-based approaches for aerial visual tracking
W Chuangju - Journal of Optics, 2024 - Springer
Unmanned aerial vehicle (UAV) or aerial drone, video, and image analysis is a developing
application that has attracted substantial academic interest in several computer vision …
application that has attracted substantial academic interest in several computer vision …
A deep learning-based car accident detection approach in video-based traffic surveillance
X Wu, T Li - Journal of Optics, 2024 - Springer
Car accident detection plays a crucial role in video-based traffic surveillance systems,
contributing to prompt response and improved road safety. In the literature, various methods …
contributing to prompt response and improved road safety. In the literature, various methods …
A visual ergonomic assessment approach using Kinect and OWAS in real workplace environments
X Li - Multiscale and Multidisciplinary Modeling, Experiments …, 2023 - Springer
Ergonomics plays an important role and has contributed to sustainable development in
many areas such as product design, architecture, health, safety, and workplace design. An …
many areas such as product design, architecture, health, safety, and workplace design. An …
Performance analysis of deep learning-based object detection algorithms on COCO benchmark: a comparative study
J Tian, Q Jin, Y Wang, J Yang, S Zhang… - Journal of Engineering and …, 2024 - Springer
This paper thoroughly explores the role of object detection in smart cities, specifically
focusing on advancements in deep learning-based methods. Deep learning models gain …
focusing on advancements in deep learning-based methods. Deep learning models gain …
Autonomous traffic sign detection for self-driving car system using convolutional neural network algorithm
Z Yu, T Ye - Journal of Optics, 2024 - Springer
The accurate detection of traffic signs is a critical component of self-driving systems,
enabling safe and efficient navigation. In the literature, various methods have been …
enabling safe and efficient navigation. In the literature, various methods have been …
Spatio-temporal processing for automatic vehicle detection in wide-area aerial video
Vehicle detection in aerial videos often requires post-processing to eliminate false
detections. This paper presents a spatio-temporal processing scheme to improve automatic …
detections. This paper presents a spatio-temporal processing scheme to improve automatic …
Accurate salient object detection via dense recurrent connections and residual-based hierarchical feature integration
Recently, the convolutional neural network (CNN) has achieved great progress in many
computer vision tasks including object detection, image restoration, and scene …
computer vision tasks including object detection, image restoration, and scene …
Investigation of visual inspection methodologies for printed circuit board products
W Deng - Journal of Optics, 2024 - Springer
Printed circuit board (PCB) inspection is as challenging issue in electronic manufacturing.
Visual inspection is broadly used to perform this task and has been instigated by many …
Visual inspection is broadly used to perform this task and has been instigated by many …