Results 101 to 110 of about 17,346 (205)

Application of YOLOv8 Architecture Optimized based on BiFPN in Leather Defect Recognition

Pige Kexue Yu Gongcheng
Traditional image processing methods are difficult to effectively deal with complex backgrounds and defects with different scales. This paper proposed a YOLOv8 architecture optimization strategy that integrates Bidirectional Feature Pyramid Network ...
Hao TANG, Faming CHEN, Zhipeng FENG, Lingzhi HE   +3 more
doaj   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, Volume 2, Issue 5, October 2026.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

An appearance defect detection method for pre-fried potato chips based on EISW-YOLOv8n

Shipin yu jixie
ObjectiveTo address the low speed and efficiency as well as missed and false detection in manual inspection of defective products in pre-fried potato chip production, enhance the accuracy and speed of product defect identification, and ensure safe ...
LI Jianjia, WANG Yongqiang, ZHOU Congling, WANG Hao   +3 more
doaj   +1 more source

Automation of a Train‐Carrying Prototype Rail Detection System Using a Camera Sensor Technology

Applied Research, Volume 5, Issue 5, October 2026.
This study presents an automated camera‐based railway track detection system for a train‐carrying prototype, integrating image processing and optical flow on an NVIDIA Jetson Xavier NX. Experimental results demonstrate 91.16% average detection accuracy and near‐real‐time performance of approximately 15 FPS at lorry speeds of 15–25 km/h.
Heru Syah Putra, Ahmad Sugiana, Arie Vatresia, Wichai Siwakosit   +3 more
wiley   +1 more source

PicAxe: Extracting Figures from Structurally and Syntactically Heterogeneous Corpora of PDF Files

Journal of Open Research Software
PicAxe is open-source Python software that researchers can use to extract figures from corpora of PDF files that contain text and images. It is designed to extract figures from corpora that include both scanned and “born-digital” PDF files (structurally ...
Anna C. Guerrero, Krishna Kamath, Qilin Zhou, Bruno Felalaga, Julia Damerow, Aaron R. Dinner   +5 more
doaj   +1 more source

A Novel Improved YOLOv8 Approach for Micro‐Motion Trajectory Modeling and Real‐Time Athlete Motion State Estimation

Engineering Reports, Volume 8, Issue 10, October 2026.
There are problems of insufficient accuracy in capturing small motion trajectories and delay in real‐time motion state estimation in the training of track and field athletes. Based on the improved YOLOv8 framework, this paper introduces 3D convolution to construct a spatiotemporal feature pyramid (ST‐FPN) and embeds an optical flow‐guided cross‐frame ...
Yu Ao, Wu Guancheng, Chen Xi
wiley   +1 more source

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

Artificial Intelligence‐Assisted Wireless Handheld Ultrasound for Screening Developmental Dysplasia of the Hip in Infants

Journal of Ultrasound in Medicine, Volume 45, Issue 10, Page 2329-2343, October 2026.
Objectives Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to
Dandan Zhang, Simiao Tao, Ping Chen, Jiangtao Wang, Yu Yang, Xiuxiu Zhang, Tieqiang Wang, Hailin Pan, Jiong Chen, Baoying Ye   +9 more
wiley   +1 more source

OPTIMASI DETEKSI PENYAKIT DAUN TEH BERBASIS YOLOV8 MENGGUNAKAN CONVOLUTIONAL BLOCK ATTENTION MODULE (CBAM) DAN BIDIRECTIONAL FEATURE PYRAMID NETWORK (BiFPN) [PDF]

Deteksi dini penyakit daun teh penting untuk menjaga kualitas produksi, namun proses ini menghadapi tantangan berupa keragaman bentuk dan ukuran gejala serta latar belakang citra yang kompleks. Penelitian ini mengoptimalkan YOLOv8 dengan mengintegrasikan
Armijantoro, Gilang Rahmadhan
core  

YOLOv8-UC: An Improved YOLOv8-Based Underwater Object Detection Algorithm

Underwater object detection technology is widely used in fields such as ocean exploration. However, due to the complex underwater environment, issues like light attenuation and scattering lead to low detection accuracy, which fails to meet the ...
Jinghua Huang, Jue Liu, Xiaogang Zheng, Chao Fang   +3 more
core   +1 more source