Results 111 to 120 of about 12,664 (249)
Road Damage Detection for Autonomous Driving Vehicles using YOLOv8 and Salp Swarm Algorithm
Applications of Modelling and SimulationRoad accidents are one of the leading causes of death and serious injury in Malaysia, often resulting from human errors and poor road conditions. Autonomous vehicles aim to reduce accidents by mitigating human errors. Therefore, improving the road damage
Nik Ahmad Farihin Mohd Zulkifli +2 more
doaj
Crop Pest Target Detection Algorithm in Complex Scenes:YOLOv8-Extend
智慧农业ObjectiveIt is of great significance to improve the efficiency and accuracy of crop pest detection in complex natural environments, and to change the current reliance on expert manual identification in the agricultural production process.
ZHANG Ronghua, BAI Xue, FAN Jiangchuan
doaj +1 more source
YOLO‐EPDS: A Small Object Detection Algorithm for Power Transmission Line Nut Spacing Looseness
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study proposes YOLO‐EPDS, an enhanced YOLOv9‐based detection framework for identifying nut loosening in transmission lines. By integrating multi‐scale attention, SPD‐Conv, and deformable convolutions with Shape‐IoU loss, the model achieves 79.7% mAP@50 on a self‐constructed dataset, outperforming the baseline in both accuracy and efficiency ...
Guilan Wang +3 more
wiley +1 more source
SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection
Frontiers in Plant SciencePlant disease detection remains a significant challenge, necessitating innovative approaches to enhance detection efficiency and accuracy. This study proposes an improved YOLOv8 model, SerpensGate-YOLOv8, specifically designed for plant disease detection tasks.
Yongzheng Miao +5 more
openaire +2 more sources
A general defect detection model for power scenarios using the improved YOLOv8
Zhejiang dianliThe current centralized defect detection system faces challenges such as large data volume and poor real-time performance， underscoring the pressing need for distributed detection systems， with edge computing as a representative.
HAN Rui +4 more
doaj +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.To address missed detections and false positives in highway litter detection caused by small target sizes and feature degradation, this study proposes a novel framework integrating multi‐scale feature fusion and dynamic feature enhancement mechanisms, which includes a contextual anchor attention module, an improved spatial pyramid pooling module, a ...
Changlu Guo, Yecai Guo, Songbin Li
wiley +1 more source
Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data
Current Directions in Biomedical EngineeringCore-shell capsules (CSC) are a promising approach for 3D cell culture because they overcome the challenges of traditional large-scale cell cultivation techniques used in tissue engineering.
Budde Leon +3 more
doaj +1 more source
Lightweight Rebar End Detection Algorithm Based on Improved YOLOv8
Taiyuan Ligong Daxue xuebaoPurposes Rebar plays an indispensable role in construction engineering; however, challenges such as densely packed end faces, non-uniform diameter scales, adhesive boundaries, background fusion, and occlusions between end faces have made precise counting
NI Futao +4 more
doaj +1 more source
Camellia oleifera Tree Detection and Counting Based on UAV RGB Image and YOLOv8 [PDF]
Renxu Yang +7 more
openalex +1 more source
IET Software, Volume 2026, Issue 1, 2026.The modern metropolis essentially demands the use of state‐of‐the‐art, real‐time surveillance systems, which should be reliable, scalable, and respectful of privacy at the same time. Critical shortcomings in traditional architectures are single points of failure, poor scalability, frequent data breaches, and inadequately managed privacy.
Shihab Sarar +4 more
wiley +1 more source