Results 51 to 60 of about 5,394 (229)

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

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

Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review

Engineering Reports, Volume 8, Issue 4, April 2026.
This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam, Morium Akter, Mohammad Shorif Uddin, Md. Ataur Rahman, Md. Tarek Habib   +4 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

Multi-Class on-Tree Peach Detection Using Improved YOLOv5s and Multi-Modal Images

智慧农业, 2022
Accurate peach detection is a prerequisite for automated agronomic management, e.g., peach mechanical harvesting. However, due to uneven illumination and ubiquitous occlusion, it is challenging to detect the peaches, especially when the peaches are ...
LUO Qing, RAO Yuan, JIN Xiu, JIANG Zhaohui, WANG Tan, WANG Fengyi, ZHANG Wu   +6 more
doaj   +1 more source

Multi-strategy Collaborative Optimized YOLOv5s and its Application in Distance Estimation

, 2023
The increasing accident rate brought about by the explosive growth of automobiles has made the research on active safety systems of automobiles increasingly important.
Li, Xiangxiang, Mu, Zhenping, Shen, Zijian   +2 more
core  

Comparing the Performance of Deep Learning Algorithms for Vehicle Detection and Classification [PDF]

, 2022
The rapid pace of developments in Artificial Intelligence (AI) provides unprecedented opportunities to enhance the performance of Intelligent Transportation Systems.
Arthur, Elizabeth
core  

YOLOv5-DCN: An Effective Improvement Based on YOLOv5 Detector

International Journal of Computer Science and Information Technology
Urine sediment detection is of great significance for the diagnosis and monitoring of kidney diseases, urinary tract infections, stones, etc. This study aims to propose fast, high-precision and lightweight Urinary particles detection model based on YOLOv5, deformable convolution, and evaluate its performance in Urinary particles detection tasks.
Xiaoxia Qi, Md Gapar Md Johar, Ali Khatibi, Jacquline Tham, Long Cheng   +4 more
openaire   +1 more source

Autonomous Planetary Rover Navigation and Crater‐Based Map Augmentation for Path Planning and Rock Localization Using Space ROS

Engineering Reports, Volume 8, Issue 3, March 2026.
Autonomous planetary rovers operate in GPS‐denied, low‐texture, crater‐rich environments where traditional SLAM‐based navigation systems suffer from localization drift and unreliable obstacle handling. To address these challenges, this work proposes a Space‐ROS–based autonomous navigation framework integrating ROS2 with the NAV2 stack, RTAB‐Map visual ...
Imnul Haque Ruman Talukder, Hrittik Mural, S. M. Fahim Faisal, Avishak Talukdar, Shishir Chandra Das, Mumit Hassan   +5 more
wiley   +1 more source

An FPGA-Based Hybrid Overlapping Acceleration Architecture for Small-Target Remote Sensing Detection

Remote Sensing
Small-object detection in satellite remote sensing images plays a pivotal role in the field of remote sensing. Achieving high-performance real-time detection demands not only efficient algorithms but also low-power, high-performance hardware platforms ...
Nan Fang, Liyuan Li, Xiaoxuan Zhou, Wencong Zhang, Fansheng Chen   +4 more
doaj   +1 more source