[HTML][HTML] A review on modern defect detection models using DCNNs–Deep convolutional neural networks
Background Over the last years Deep Learning has shown to yield remarkable results when
compared to traditional computer vision algorithms, in a large variety of computer vision …
compared to traditional computer vision algorithms, in a large variety of computer vision …
A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Deep learning based detector YOLOv5 for identifying insect pests
Insect pests are a major element influencing agricultural production. According to the Food
and Agriculture Organization (FAO), an estimated 20–40% of pest damage occurs each …
and Agriculture Organization (FAO), an estimated 20–40% of pest damage occurs each …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Real-time human detection using deep learning on embedded platforms: A review
W Rahmaniar, A Hernawan - Journal of Robotics and Control …, 2021 - journal.umy.ac.id
The detection of an object such as a human is very important for image understanding in the
field of computer vision. Human detection in images can provide essential information for a …
field of computer vision. Human detection in images can provide essential information for a …
Rice seedling detection in UAV images using transfer learning and machine learning
To meet demand for agriculture products, researchers have recently focused on precision
agriculture to increase crop production with less input. Crop detection based on computer …
agriculture to increase crop production with less input. Crop detection based on computer …
Development and optimization of deep learning models for weapon detection in surveillance videos
Featured Application This work has applied computer vision and deep learning technology
to develop a real-time weapon detector system and tested it on different computing devices …
to develop a real-time weapon detector system and tested it on different computing devices …
The knowledge domain of crowd dynamics: Anatomy of the field, pioneering studies, temporal trends, influential entities and outside-domain impact
M Haghani - Physica A: Statistical Mechanics and its Applications, 2021 - Elsevier
The literature of pedestrian, crowd and evacuation dynamics is captured in its approximate
full scope and is analysed at various levels using scientometric indicators of its underlying …
full scope and is analysed at various levels using scientometric indicators of its underlying …
Deep learning-assisted automated sewage pipe defect detection for urban water environment management
A healthy sewage pipe system plays a significant role in urban water management by
collecting and transporting wastewater and stormwater, which can be assessed by hydraulic …
collecting and transporting wastewater and stormwater, which can be assessed by hydraulic …
[HTML][HTML] Object tracking and detection techniques under GANN threats: A systemic review
SM Al Jaberi, A Patel, AN Al-Masri - Applied Soft Computing, 2023 - Elsevier
Current developments in object tracking and detection techniques have directed remarkable
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …