Results 51 to 60 of about 17,346 (205)

A Review and Prospect of Appearance Defect Detection Methods for High Voltage Equipment Based on Vision Large Models

High Voltage, EarlyView.
ABSTRACT High voltage equipment, as a core component of power systems, plays an indispensable role in ensuring the reliability of power supply through its safe and stable operation. Traditional visual defect detection for high voltage equipment, however, often relies on manual inspection and experience‐based judgement, which struggles to meet the ...
Zhenbing Zhao, Shuo Feng, Teng Ma, Chenkang Tang, Wenlong Liao, Yixuan Huang, Yongjie Zhai, Wenqing Zhao   +7 more
wiley   +1 more source

Aplikasi Deteksi Otomatis Hukum Tajwid Utama pada Ayat Al-Qur’an menggunakan YOLOv8

Edumatic
Tajwid learning faces challenges in visually recognizing recitation rules from Arabic script, thus requiring an interactive and accurate digital medium.
Arfiansah Arfiansah, Mohammad Nasucha
doaj   +1 more source

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

MDD-YOLOv8: A Multi-Scale Object Detection Model Based on YOLOv8 for Synthetic Aperture Radar Images

The targets in Synthetic Aperture Radar (SAR) images are often tiny, irregular, and difficult to detect against complex backgrounds, leading to a high probability of missed or incorrect detections by object detection algorithms. To address this issue and
Huaixin Chen, Jie Liu, Xue Liu, Sijie Luo   +3 more
core   +1 more source

Optimasi Deteksi Objek pada Video dengan Kompresi Region of Interest menggunakan Model YOLOv8

Edumatic
The demand for real-time object detection systems, such as those used in video surveillance and autonomous vehicles, drives the need for efficient data storage and transmission without compromising accuracy.
Azhryl Assagaf, Muis Muhtadi
doaj   +1 more source

Reusing Geospatial Data of Invasive Alien Insect Species From the Literature: Significance, Challenges, and Potential

Integrative Zoology, EarlyView.
We use bibliometric analysis to evaluate geospatial data reuse for invasive alien insect species (IAIS). Of 1032 relevant publications, 51.0% lacked downloadable raw data. Integrating cross‐regional, temporal, and multi‐species data could address single‐study limitations, but data scarcity remains a barrier.
Shuhao Tan, Yiqi Xu, Qiaoling Lin, Muzi Ge, Yuting Wu, Jianshi Jin   +5 more
wiley   +1 more source

Research on deep learning-based affiliated obstacle identification of overhead transmission line

Diance yu yibiao
The overhead line patrol robot plays an important role in improving the line maintenance efficiency and ensuring the safe and stable operation of power system.
CHI Xingjiang, PAN Jinhu, GENG Junwei
doaj   +1 more source

Theia: An end‐to‐end edge‐AI mobile framework for high‐throughput field phenotyping and on‐device geometric morphometrics

Methods in Ecology and Evolution, EarlyView.
Abstract Geometric morphometrics (GM) is widely used to study phenotypic variation in ecological and evolutionary research, but the throughput of manual landmark digitization limits how large morphometric datasets can practically become, especially in field studies that would benefit from rapid on‐site feedback.
Cristobal Bragagnolo, Andrés Ferreira‐Rodríguez, Mohamed Abdelaziz, A. Jesús Muñoz‐Pajares   +3 more
wiley   +1 more source

DS-YOLOv8-Based Object Detection Method for Remote Sensing Images

, 2023
The improved YOLOv8 model (DCN_C2f+SC_SA+YOLOv8, hereinafter referred to as DS-YOLOv8) is proposed to address object detection challenges in complex remote sensing image tasks.
Baihe Lang, Zhengxun Song, Lingyun Shen
core   +1 more source

DEEP LEARNING ARCHITECTURES FOR VISUAL RECOGNITION OF SELECTED TYPES OF EXPLOSIVE ORDNANCE: COMPARATIVE ANALYSIS AND SYSTEM IMPLEMENTATION

Електроніка та інформаційні технології
Background. In the context of significant contamination of Ukraine's territory with explosive ordnance (EO) resulting from the Russian Federation's aggression and over 11 years of ongoing hostilities, coupled with limited resources for detection and ...
Volodymyr Hrabovskyi, Oleksii Hryhorashyk   +1 more
doaj   +1 more source