Results 81 to 90 of about 12,214 (239)

Yolov5s-PSG: Improved Yolov5s-Based Helmet Recognition in Complex Scenes

IEEE Access
In the field of industrial safety, due to the existence of color, distance and other reasons in complex industrial environments caused by the helmet small target detection methods have the problem of misdetection and omission, and the Yolov5s model for real-time detection of helmets is not ideal.
Yi Li 0077, Xiaolin Shi, Xiaolong Xu, Han Zhang, Fan Yang   +4 more
openaire   +2 more sources

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Pavement crack detection method based on improved YOLOv5

Dianzi Jishu Yingyong
Aiming at the problem that the existing crack detection model is large in size and the detection accuracy is not high, this paper proposes a crack detection method for UAV aerial images based on lightweight network.
Wang Xiangqian, Cheng Gaoli, Hu Peng, Xia Xiaohua   +3 more
doaj   +1 more source

Smart sprayer for weed control using an object detection algorithm (YOLOv5) [PDF]

Journal of Plant Protection Research
Spraying pesticides is one of the most common procedures that is conducted to control pests. However, excessive use of these chemicals inversely affects the surrounding environments including the soil, plants, animals, and the operator itself. Therefore,
Ameer H. Al-Ahmadi, Alaa K. Subr
doaj   +1 more source

AI‐assisted automated endpoint interpretation for turbidity‐based digital LAMP using bright‐field microscopy

VIEW, EarlyView.
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen, Yiliang Bao, Yue Wang, Kaixuan Guo, Meimei Zeng, Yan Deng, Song Li, Yuan Guo   +7 more
wiley   +1 more source

LE-YOLOv5: A Lightweight and Efficient Road Damage Detection Algorithm Based on Improved YOLOv5

, 2023
Road damage detection is very important for road safety and timely repair. The previous detection methods mainly rely on humans or large machines, which are costly and inefficient.
Liu, Han, Liu, Zhanwei, Zhuo Diao, Diao, Zhuo, 黄先富, Xianfu Huang, Han Liu, Zhanwei Liu, Huang, Xianfu   +8 more
core   +1 more source

An Artificial Intelligence-Based System for Identifying Ureteral Stricture Regions [PDF]

International Neurourology Journal
Purpose 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
doaj   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection

, 2022
In this research, an integrated detection model, Swin-transformer-YOLOv5 or Swin-T-YOLOv5, was proposed for real-time wine grape bunch detection to inherit the advantages from both YOLOv5 and Swin-transformer.
Lu, Shenglian, Zhang, Xin, Liu, Xiaoyu, Zixuan He, Xiaoyu Liu, He, Zixaun, Shenglian Lu, Xin Zhang, Manoj Karkee, Karkee, Manoj, Wenbo Liu, Liu, Wenbo   +11 more
core   +1 more source

Context Aware Multimodal Fusion YOLOv5 Framework for Pedestrian Detection under IoT Environment [PDF]

Radioengineering
Pedestrian detection based on deep networks has become a research hotspot in the field of computer vision. With the rapid development of the Internet of Things (IoT) and autonomous driving technology, the deployment of pedestrian detection models on ...
Y. Shu, Y. Wang, M. Zhang, J. Yang, Y. Wang, J. Wang, Y. Zhang   +6 more
doaj