Results 51 to 60 of about 4,232 (214)

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Lightweight Convolutional Neural Networks Model and Data Augmentation‐Based Background Regression for Rail Surface Defect Detection

Artificial Intelligence for Engineering, EarlyView.
An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu, Weilong Niu, Xiaoguang Sun, Ting Qu, Yihui Zhu   +4 more
wiley   +1 more source

Comparison of YOLOv5s and our method detection results.

, 2023
Comparison of YOLOv5s and our method detection results.
Wenchao Zhu (7608671), Xiaojun Ren (2643157), Ting Sun (137181), Jie Yang (121778), Fang Liu (13271)   +4 more
core   +1 more source

IoT-Based Smoking Violation Detection System Equipped with Object Detection Using YOLOv5s Algorithm

Journal of Applied Informatics and Computing
Smoking is a common habit in Indonesia. The Indonesian government has implemented regulations on smoke-free areas, but violations of the smoke-free policy still often occur.
Audina Amalia Putri, Indra Hermawan
doaj   +1 more source

Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection

Sensors, 2022
To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of existing road pit defect detection models and the practicability of detection equipment, this paper proposes a lightweight target detection algorithm with ...
Fu-Jun Du, Shuang-Jian Jiao
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, Jiamin Guo, Erbao Dong, Rui Guo, Linkun Zhao, Chaoqun Wang, Xuewen Rong, Yibin Li   +7 more
wiley   +1 more source

Detection algorithm for wearing safety helmet under mine based on improved YOLOv5s

Meitan kexue jishu
Aiming at the problems of low accuracy and high missed detection rate of personnel safety helmet detection algorithm caused by complex environment under mine, an improved mine safety helmet detection algorithm based on YOLOv5s is proposed.
Yuanbin WANG, Sixiong WEI, Huaying WU, Yu DUAN, Meng LIU   +4 more
doaj   +1 more source

Optimized Deep Learning‐Based Cabbage Stem Detection and Depth Classification

Journal of Food Process Engineering, Volume 49, Issue 5, May 2026.
A deep learning‐based approach using YOLOv5 enables accurate cabbage stem detection and depth classification, supporting efficient and automated cabbage processing applications. ABSTRACT In food industry, removing the nonedible parts causes reduction of production efficiency due to its heavily labor‐intensive process with a lot of loss of the edible ...
Tae Hyong Kim, Roh Jonghyeok, Ah‐Na Kim, Ki Hyun Kwon   +3 more
wiley   +1 more source

Research on grid based fire warning algorithm with YOLOv5s for palace buildings

Emergency Management Science and Technology
In response to the early warning requirements of fire security technology in the Imperial Palace & large Ming and Qing ancient architectural complexes in China, a grid based fire warning algorithm is proposed by combining neural network YOLOv5s smoke ...
Zhiming Wang, Jiangnan Peng, Xinzhi Liu, Changan Di, Bo Wang   +4 more
doaj   +1 more source

Context‐Aware Semiautonomous Control for Upper‐Limb Prostheses

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
A semiautonomous prosthetic control strategy integrates electromyographic‐based intention with computer vision‐driven grasp adaptation and wrist orientation. Comparative experiments with functional tasks evaluate performance, usability, and cognitive workload.
Gianmarco Cirelli, Enrica Stefanelli, Roberto Billardello, Christian Tamantini, Silvia Leonelli, Loredana Zollo, Luigi Pietro Cordella, Francesca Cordella   +7 more
wiley   +1 more source