Results 51 to 60 of about 7,696 (200)

Performance Evaluation of YOLOv8 for Railway Switching Operation Safety Monitoring

Computer Science
Safety in railway shunting operations requires continuous monitoring of train distance and speed to reduce the risk of operational accidents. In practice, shunting activities are still highly dependent on manual observation and verbal communication ...
Aulya Anggita Putri Selendra, Teguh Arifianto, Fathurrozi Winjaya   +2 more
doaj   +1 more source

OBC-YOLOv8: an improved road damage detection model based on YOLOv8

PeerJ Computer Science
Effective and efficient detection of pavement distress is very important for the normal use and maintenance of roads. To achieve this goal, a new road damage detection method based on YOLOv8 is proposed in this article. Firstly, omni-dimensional dynamic convolution (ODConv) block is employed to better grasp the complex and diverse features of damage ...
Shizheng Zhang, Zhihao Liu, Kunpeng Wang, Wanwei Huang, Pu Li   +4 more
openaire   +3 more sources

Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model

Integrative Zoology, EarlyView.
This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li, Chengrui Shang, Xian Hou, Qi Wang, Jiao Wang, Taxing Zhang, Xiangjiang Zhan, Shengkai Pan   +7 more
wiley   +1 more source

Target detection method of coal mine underground inspection robot based on improved YOLOv8

Meikuang Anquan
To solve the problems such as low inspection efficiency and low recognition accuracy existing in traditional underground coal mine inspection robots, improve the accuracy and efficiency of underground coal mine target detection, and ensure mine safety, a
Hai WANG, Zhiyu FENG, Renfei LI, Yonggang XU, Peiqiang HAN, Chuang YANG   +5 more
doaj   +1 more source

From video to behaviour: An LSTM‐based approach for automated nest behaviour recognition in the wild

Methods in Ecology and Evolution, EarlyView.
Abstract Studies of animal behaviour usually rely on direct observations or manual annotations of video recordings. However, such methods can be very time‐consuming and error‐prone, leading to sub‐optimal sample sizes. Recent advances in deep learning show great potential to overcome such limitations.
Liliana R. Silva, André C. Ferreira, Irene Martínez‐Baquero, Arlette Fauteux, Claire Doutrelant, Rita Covas   +5 more
wiley   +1 more source

YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8

IEEE Access
The aluminum laminate pouch of pouch batteries is highly prone to deformation, which can cause various surface defects, thereby affecting their service life and potentially posing safety hazards. To address this problem, we propose an algorithm named YOLOv8-UCB for detecting surface defects in pouch batteries, which is based on the YOLOv8 model. First,
Hao Hao, Xiang Yu
openaire   +2 more sources

Multi‐angle, cross‐domain fusion strategy enhances automated insect identification and hierarchical categorization: a case study on assassin bugs (Hemiptera: Reduviidae)

Cladistics, EarlyView.
Abstract Automated insect identification systems hold significant value for biodiversity monitoring, pest management, citizen science initiatives and systematic studies, particularly in an era of declining expertise in insect taxonomy. However, current deep learning approaches often rely on standardized specimen photos from limited‐angles and ...
Xinkai Wang, Huaiyu Liu, Zhuo Chen, Yisheng Zhao, Yingqi Liu, Haoyang Xiong, Yuange Duan, Fang Song, Wanzhi Cai, Xuankun Li, Hu Li   +10 more
wiley   +1 more source

Identification, diversity, and spatial distribution of flies in various cattle farms in the Malang region, East Java, Indonesia

Jurnal Medik Veteriner
This study investigated the diversity, density, and distribution of cattle-infesting flies in smallholder systems in the Malang region, East Java, Indonesia, where high fly burdens compromise animal health and productivity, but spatial evidence is ...
Shelly Kusumarini, Rizkirana Janumurti, Nanis Nurhidayah, Sruti Listra Adrenalin, Reza Yesica, Agwin Fahmi Fahanani   +5 more
doaj   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

Comparative Analysis of YOLOv8 Segmentation Variants for Indonesian Sign Language (SIBI) Recognition

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The Indonesian Sign Language System (SIBI) is the officially recognized communication medium for deaf communities in Indonesia, yet its limited public use continues to create barriers in education, healthcare, and public services. Automatic sign language
Desi Fatkhi Azizah, Anik Nur Handayani, Aji Prasetya Wibawa, Osamu Fukuda   +3 more
doaj   +1 more source