[HTML][HTML] Yolo-based uav technology: A review of the research and its applications

C Chen, Z Zheng, T Xu, S Guo, S Feng, W Yao, Y Lan - Drones, 2023 - mdpi.com
In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

[HTML][HTML] Target detection and recognition for traffic congestion in smart cities using deep learning-enabled UAVs: A review and analysis

S Iftikhar, M Asim, Z Zhang, A Muthanna, J Chen… - Applied Sciences, 2023 - mdpi.com
In smart cities, target detection is one of the major issues in order to avoid traffic congestion.
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …

[PDF][PDF] Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach.

KK Kumar, PM Dinesh, P Rayavel… - … Systems Science & …, 2023 - cdn.techscience.cn
A brain tumor is a lethal neurological disease that affects the average performance of the
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …

[HTML][HTML] Lightweight you only look once v8: An upgraded you only look once v8 algorithm for small object identification in unmanned aerial vehicle images

Z Huangfu, S Li - Applied Sciences, 2023 - mdpi.com
In order to solve the problems of high leakage rate, high false detection rate, low detection
success rate and large model volume of small targets in the traditional target detection …

[HTML][HTML] On-board small-scale object detection for unmanned aerial vehicles (UAVs)

Z Saeed, MH Yousaf, R Ahmed, SA Velastin, S Viriri - Drones, 2023 - mdpi.com
Object detection is a critical task that becomes difficult when dealing with onboard detection
using aerial images and computer vision technique. The main challenges with aerial images …

[HTML][HTML] A novel weld-seam defect detection algorithm based on the s-yolo model

Y Zhang, Q Ni - Axioms, 2023 - mdpi.com
Detecting small targets and handling target occlusion and overlap are critical challenges in
weld defect detection. In this paper, we propose the S-YOLO model, a novel weld defect …

YOLO-UAV: Object detection method of unmanned aerial vehicle imagery based on efficient multi-scale feature fusion

C Ma, Y Fu, D Wang, R Guo, X Zhao, J Fang - IEEE Access, 2023 - ieeexplore.ieee.org
As Unmanned Aerial Vehicle (UAV) remote sensing technology progresses, the utilization of
deep learning in UAV imagery object detection has become more prevalent. However …

[HTML][HTML] Sugarcane stem node identification algorithm based on improved YOLOv5

Z Xie, Y Li, Y Xiao, Y Diao, H Liao, Y Zhang, X Chen… - Plos one, 2023 - journals.plos.org
Identification of sugarcane stem nodes is generally dependent on high-performance
recognition equipment in sugarcane seed pre-cutting machines and inefficient. Accordingly …

Real-Time Inspection of Fire Safety Equipment using Computer Vision and Deep Learning

A Alayed, R Alidrisi, E Feras, S Aboukozzana… - … , Technology & Applied …, 2024 - etasr.com
The number of accidental fires in buildings has been significantly increased in recent years
in Saudi Arabia. Fire Safety Equipment (FSE) plays a crucial role in reducing fire risks …

[HTML][HTML] CCA-YOLO: An Improved Glove Defect Detection Algorithm Based on YOLOv5

H Jin, R Du, L Qiao, L Cao, J Yao, S Zhang - Applied Sciences, 2023 - mdpi.com
Aiming to address the issue of low efficiency and a high false-detection rate in artificial
defect detection in nitrile medical gloves, CCA-YOLO was proposed on the basis of YOLOv5 …