Results 21 to 30 of about 7,696 (200)

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

Advanced Intelligent Discovery, EarlyView.
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

SCP‐Pose: Leveraging Structural Consistency Prior Knowledge for Real‐Time Category‐Level 6D Pose Estimation

Advanced Intelligent Systems, EarlyView.
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li, Mingxuan Yu, Xuemei Xie, Zhaozhuo An, Qiyue Li, Xiaodan Song, Guangming Shi   +6 more
wiley   +1 more source

Foreign object detection of coal mine conveyor belt based on improved YOLOv8

Gong-kuang zidonghua
The existing deep learning based foreign object detection models for conveyor belts are relatively large and difficult to deploy on edge devices. There are errors and omissions in detecting foreign objects of different sizes and small objects.
HONG Yan, WANG Lei, SU Jingming, WANG Hantao, LI Mushi   +4 more
doaj   +1 more source

Quantifying Soft‐Surgery in Cochlear Implantation: Multimodal Data From 30 International Specialists

The Laryngoscope, EarlyView.
Objective data from 30 specialist cochlear implant surgeons showed that surgical handling strongly influences intracochlear mechanical stress during implantation. Surgeons with fewer than 50 lifetime insertions performed significantly worse than more experienced colleagues, while self‐assessment did not reflect objective performance in any group ...
Philipp Aebischer, Georgios Mantokoudis, Marco Caversaccio, Stefan Weder   +3 more
wiley   +1 more source

Remote Sensing Image Substation Target Recognition Based on Improved YOLOv8 [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
Aiming at the limitation in existing studies focused on the detection of substation local structures, such as lacking methods for rapid discovery and dynamic monitoring over large areas, the capability of identifying potential safety hazards in power ...
LIU Runjie, XU Huina, WANG Yi , XIE Guojun   +3 more
doaj   +1 more source

C4D-YOLOv8: improved YOLOv8 for object detection on drone-captured images

Signal, Image and Video Processing
Abstract Unmanned aerial vehicles (UAVs), as an emerging technology with vast application prospects, produce distinctive images due to factors, such as their shooting environment, altitude, and equipment. These UAV-captured images possess unique characteristics compared with traditional pictures, including high resolution, abundant presence of ...
Weihui Zeng, Pengcheng Wu, Junyan Wang, Gensheng Hu, Jinling Zhao   +4 more
openaire   +1 more source

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

Limnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley   +1 more source

Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach

Радіоелектронні і комп'ютерні системи
The Subject of this research is the development of an intelligent, integrated system for the early detection and causal analysis of fire hazards in large-scale solar power plants (SPPs).
Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko   +6 more
doaj   +1 more source

DSR-YOLOv8

International Journal of Ambient Computing and Intelligence
The power construction industry's growth demands efficient monitoring of high-risk worker behaviors, yet traditional methods are inefficient and existing models face false alarms in complex scenes. This study proposes DSR-YOLOv8, an improved YOLOv8 algorithm integrating three modules: (1) DSRAB using deep separable convolution and global pooling to ...
Lingwen Meng, Shasha Luo, Jiangang Liu, Bangming Zhang, Zhonghai Ruan   +4 more
openaire   +1 more source

FB-YOLOv8s: A fire detection algorithm based on YOLOv8s

Cognitive Robotics
The significance of fire detection lies in protecting public safety and safeguarding the lives and property of people. However, there exist some problems in traditional detection algorithms of fire, such as low accuracy, high miss rate, and low detection rate of small targets.
Yuhang Liu, Chunjuan Bo, Chong Feng
openaire   +2 more sources