Results 11 to 20 of about 8,823 (191)
YOLOv5s-SA: Light-Weighted and Improved YOLOv5s for Sperm Detection
Diagnostics, 2023 Sperm detection performance is particularly critical for sperm motility tracking. However, there are a large number of non-sperm objects, sperm occlusion and poorly detailed texture features in semen images, which directly affect the accuracy of sperm detection.
Ronghua Zhu +6 more
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IVP-YOLOv5: an intelligent vehicle-pedestrian detection method based on YOLOv5s
Connection Science, 2023 Computer vision is now vital in intelligent vehicle environment perception systems. However, real-time small-scale pedestrian detection in intelligent vehicle environment perception systems is still needs to be improved. This paper proposes an intelligent vehicle-pedestrian detection method based on YOLOv5s, named IVP-YOLOv5, to use in vehicle ...
Yang Sun +5 more
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GRP-YOLOv5: An Improved Bearing Defect Detection Algorithm Based on YOLOv5
Sensors, 2023 Currently, most chemical transmission equipment relies on bearings to support rotating shafts and to transmit power. However, bearing defects can lead to a series of failures in the equipment, resulting in reduced production efficiency. To prevent such occurrences, this paper proposes an improved bearing defect detection algorithm based on YOLOv5 ...
Zhao, Yue +5 more
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Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios
Applied Sciences, 2022 Fire-detection technology is of great importance for successful fire-prevention measures. Image-based fire detection is one effective method. At present, object-detection algorithms are deficient in performing detection speed and accuracy tasks when they are applied in complex fire scenarios. In this study, a lightweight fire-detection algorithm, Light-
Hao Xu, Bo Li, Fei Zhong
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YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s
Sensors, 2023 Due to the challenges of small detection targets, dense target distribution, and complex backgrounds in aerial images, existing object detection algorithms perform poorly in aerial image detection tasks. To address these issues, this paper proposes an improved algorithm called YOLOv5s-DSD based on YOLOv5s.
Chaoyue Sun +4 more
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Deep Learning Based Steel Pipe Weld Defect Detection
Applied Artificial Intelligence, 2021 Steel pipes are widely used in high-risk and high-pressure scenarios such as oil, chemical, natural gas, shale gas, etc. If there is some defect in steel pipes, it will lead to serious adverse consequences.
Dingming Yang +3 more
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YOLOv5-OCDS: An Improved Garbage Detection Model Based on YOLOv5
Electronics, 2023 As the global population grows and urbanization accelerates, the garbage that is generated continues to increase. This waste causes serious pollution to the ecological environment, affecting the stability of the global environmental balance. Garbage detection technology can quickly and accurately identify, classify, and locate many kinds of garbage to ...
Qiuhong Sun +3 more
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Risk assessment method for external breakage of overhead lines in mining areas
Gong-kuang zidonghua, 2023 The operating environment of overhead lines in mining areas is harsh. The lines are easily affected by external factors, leading to line breakage. It is necessary to accurately evaluate the risk level of external breakage of overhead lines in mining ...
LIU Zhenguo +3 more
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YOLOv5s-GTB: light-weighted and improved YOLOv5s for bridge crack detection
CoRR, 2022 In response to the situation that the conventional bridge crack manual detection method has a large amount of human and material resources wasted, this study is aimed to propose a light-weighted, high-precision, deep learning-based bridge apparent crack recognition model that can be deployed in mobile devices' scenarios.
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Analysis of player tracking data extracted from football match feed
Revista Română de Informatică și Automatică, 2023 Data analytics and AI have become extremely relevant in today’s football landscape. Data is benefiting clubs in gaining a competitive advantage on and off the field by empowering them to harvest information for improving player performance, decreasing ...
Swetha SASEENDRAN +3 more
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