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An Artificial Intelligence-Based System for Identifying Ureteral Stricture Regions [PDF]
International Neurourology JournalPurpose This paper proposes a technical system designed to accurately identify the stenotic site in patients with ureteral stricture and guide the surgeon. The objective of this technical solution is to improve surgical efficiency.
Jong Mok Park, Khae-Hawn Kim
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YOLOv5-LiNet: A lightweight network for fruits instance segmentation
PLoS ONE, 2023 To meet the goals of computer vision-based understanding of images adopted in agriculture for improved fruit production, it is expected of a recognition model to be robust against complex and changeable environment, fast, accurate and lightweight for a ...
Olarewaju Mubashiru Lawal
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An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5
Fire, 2023 To tackle the problem of missed detections in long-range detection scenarios caused by the small size of forest fire targets, initiatives have been undertaken to enhance the feature extraction and detection precision of models designed for forest fire ...
Long Zhang, Jiaming Li, Fuquan Zhang
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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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MT-YOLOv5: Mobile terminal table detection model based on YOLOv5 [PDF]
Journal of Physics: Conference Series, 2021 Abstract Table detection is an important task of optical character recognition(OCR). At present, table detection for desktop applications has basically reached commercial requirements. With the advancement of informatization, personal demand for table detection has gradually increased.
Zixin Ning +3 more
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Mine roadway personnel counting technology based on deep learning
Meikuang Anquan, 2023 When a safety accident occurs in a coal mine, it is necessary to clearly understand the personnel situation in each area and reasonably arrange the rescue plan.
CHEN Taiguang +3 more
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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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Early detection of sick chicken using artificial intelligence
Teknika, 2022 According to survey of BPS, in 2020 meat consumption especially poultry has reached 4 million tons per year or equivalent to 35% of total meal consumption.
Widyawati Widyawati, Waliadi Gunawan
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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 ...
Yue Zhao +5 more
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YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection
Sensors, 2022 In response to the dangerous behavior of pedestrians roaming freely on unsupervised train tracks, the real-time detection of pedestrians is urgently required to ensure the safety of trains and people. Aiming to improve the low accuracy of railway pedestrian detection, the high missed-detection rate of target pedestrians, and the poor retention of non ...
Haohui Lv +4 more
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