Results 101 to 110 of about 4,232 (214)

Lymphocyte Detection Method Based on Improved YOLOv5

IEEE Access
To address the limitations of traditional burdensome and time-consuming manual diagnosis of Sjogren’s syndrome, this study proposes and implements an improved version of YOLOv5s algorithm, named YOLOv5s-MSS.
Peihe Jiang, Yi Li, Ying Liu, Ning Lu
doaj   +1 more source

YOLOv5s detection effect diagram.

The automatic detection of the degree of surface corrosion on metal structures is of significant importance for assessing structural damage and safety.
Zhitong Jia (17709113), Lingzhi Wu (133076), Zhendong Cui (18340284), Mingjiao Fu (18340281)   +3 more
core   +1 more source

Longitudinal tear detection system for belt conveyor based on deep learning

Meikuang Anquan
In response to the common problems faced by belt conveyors in the field of longitudinal tear detection, such as high missed detection rate, frequent false alarms, and insufficient intelligence level, we develop an intelligent detection system for ...
Zhiqiang YU, Xiangsheng PAN, Wei JIANG
doaj   +1 more source

Interference state intelligent recognition method for shearer drum and hydraulic support guard plate of improved YOLOv5s algorithm

Meitan kexue jishu
For the problem of interference between shearer drum and hydraulic support guard plate, an interference state intelligent recognition method for shearer drum and hydraulic support guard plate of improved YOLOv5s algorithm is proposed. The use of boundary
Qinghua MAO, Xin HU, Menghan WANG, Xuhui ZHANG, Xusheng XUE   +4 more
doaj   +1 more source

Lightweight remote sensing ship detection algorithm based on YOLOv5s

Zhongguo Jianchuan Yanjiu
ObjectiveThis paper proposes a lightweight remote sensing ship target detection algorithm LR-YOLO based on improved YOLOv5s to meet the lightweight and fast inference requirements of ship target detection tasks involving remote sensing images ...
Haochen WANG, Yuelan XIN, Jiang GUO, Qingqing WANG   +3 more
doaj   +1 more source

Maritime distress target detection algorithm based on YOLOv5s‐EFOE network

Traditional maritime search and rescue methods mainly rely on manual operation, which takes a long time to identify and results in poor search and rescue results.
Jianglong Li, Kun Liu, Guofeng Xu, Hongru Ma   +3 more
core   +1 more source

A maintenance guidance system for coal mine electromechanical equipment based on improved YOLOv5s

Gong-kuang zidonghua
In order to solve the problems of large workload and low versatility of QR code labelling and complex implementation and difficult deployment of existing no-registration recognition methods in the auxiliary maintenance of coal mine electromechanical ...
XU Jun, ZHAO Xiaohu, HOU Nianqi, WANG Jie, LIU Yulin   +4 more
doaj   +1 more source

Detection of Orchard Apples Using Improved YOLOv5s-GBR Model

The key technology of automated apple harvesting is detecting apples quickly and accurately. The traditional detection methods of apple detection are often slow and inaccurate in unstructured orchards. Therefore, this article proposes an improved YOLOv5s-
Yuhang Sui, Delin Wu, Xingdong Sun, Yukai Zheng   +3 more
core   +1 more source

Detection of alcohol content in liquor gathering based on improved YOLOv5s

Shipin yu jixie
ObjectiveTo improve the quality and yield of liquor by achieving efficient and accurate detection of alcohol content during the liquor gathering process and to develop an detection model of alcohol content in liquor gathering based on improved YOLOv5s ...
WANG Shuang, JI Yuanxia, WU Honggang, YANG Runling, LU Shaokun   +4 more
doaj   +1 more source

CBG-YOLOv5s model structure framework.

The automatic detection of the degree of surface corrosion on metal structures is of significant importance for assessing structural damage and safety.
Zhitong Jia (17709113), Lingzhi Wu (133076), Zhendong Cui (18340284), Mingjiao Fu (18340281)   +3 more
core   +1 more source