A colonic polyps detection algorithm based on an improved YOLOv5s
Colon cancer is a prevalent malignancy, substantially it prevented most effectively from killing patients through early endoscopic detection. With the rapid development of artificial intelligence technology, the early diagnosis rate of colonic polyps ...
Jinhui Zhu +17 more
core +1 more source
Steel Strip Surface Defect Detection Method Based on Improved YOLOv5s
Steel strip is an important raw material for the engineering, automotive, shipbuilding, and aerospace industries. However, during the production process, the surface of the steel strip is prone to cracks, pitting, and other defects that affect its ...
Xiaoya Ma +3 more
core +1 more source
Hybrid neural network for personnel recognition and tracking in remote bidding evaluation monitoring. [PDF]
Zhou Z +6 more
europepmc +1 more source
Synergistic Multi-Model Fusion for Efficient-Accurate Multi-Defect Detection in Power Lines. [PDF]
Xi L, Shen T, Zhao G, Wang N, Li Z.
europepmc +1 more source
YOLOv5 with Channel Attention and Feature Fusion for Wheel Surface Defect Detection. [PDF]
Gao J, Wang Y, Xia X, Zhang Z, Liu F.
europepmc +1 more source
Spectrally optimised YOLOv10s-SeqOpt framework for real-time UAV-based early detection of avocado foliar diseases in indian orchards. [PDF]
Karthik RP +3 more
europepmc +1 more source
ECTR-YOLOv5:Pedestrian detection in dense scenes based on improved YOLOv5
Abstract Pedestrian detection technology has reached a relatively mature level in sparse environments. However, accurate pedestrian detection in packed scenes still presents challenges owing to factors such as occlusion, high crowd density, and scale changes.
yiheng wu +4 more
openaire +1 more source
State estimation of multi-sensor systems based on error-state Kalman. [PDF]
Liu Y, Liu P, Shi Y.
europepmc +1 more source
A context-aware transformer with weighted residual for efficient remote sensing target detection. [PDF]
Li Z +7 more
europepmc +1 more source
BGC-LiteNet: BeiDou grid code embedded lightweight neural architecture for real-time UAV fire detection and localization. [PDF]
Yin H +5 more
europepmc +1 more source

