Results 91 to 100 of about 17,375 (236)
Chuyển đổi nhãn tự động trong thị giác máy tính cho bài toán đếm tôm giống
Tạp chí Khoa học và Công nghệTrong lĩnh vực thị giác máy tính, các bài toán như phát hiện vật thể, phân đoạn đối tượng và phân lớp thường yêu cầu dữ liệu huấn luyện được gán nhãn theo các định dạng khác nhau.
Can Thi Phuong +5 more
doaj +1 more source
YOLO-HF: Early Detection of Home Fires Using YOLO
IEEE AccessDomestic fires (residential and indoor) result in substantially higher deaths compared to other types of conflagrations, making early detection crucial to minimizing the loss of life and property. Existing studies and datasets predominantly focus on wildfire detection, with few datasets that capture the complexity of indoor environments and the subtle ...
Bo Peng, Tae-Kook Kim
openaire +2 more sources
RAGLRO: Retrieval‐Augmented Generation With Large Language Models for Robotic Operations
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifically designed for power switchgear operation tasks.
Wenrui Wang +6 more
wiley +1 more source
A Lightweight Adaptive Attention Fusion Network for Real-Time Electrowetting Defect Detection
InformationElectrowetting display technology is increasingly prevalent in modern microfluidic and electronic paper applications, yet it remains susceptible to micro-scale defects such as screen burn-in, charge trapping, and pixel wall deformation.
Rui Chen +4 more
doaj +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
High Voltage, EarlyView.ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
Research on machine learning methods for detecting objects in difficult shooting conditions
Радіоелектронні і комп'ютерні системиThe subject matter of the article is research into machine learning methods for object detection in images and videos under complex urban conditions, particularly under poor lighting, the presence of precipitation, high scene complexity, and limited ...
Vitalii Serdechnyi +4 more
doaj +1 more source
High Voltage, EarlyView.ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li +5 more
wiley +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 +7 more
wiley +1 more source