Results 31 to 40 of about 12,664 (249)

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

Underwater small objects detection based on self-attention and improved pyramid network

Shenzhen Daxue xuebao. Ligong ban
Addressing the challenges of limited feature information and decreased detection accuracy in underwater small object detection tasks due to underwater environmental effects, we propose an underwater small object detection algorithm SF-Bi-YOLOv8 based on ...
DU Ruishan, WANG Zishan, MENG Lingdong, JING Yuanguang   +3 more
doaj   +1 more source

The potential of seedbank digital information in plant conservation

PLANTS, PEOPLE, PLANET, EarlyView.
Seedbanks are vital for biodiversity conservation, but their potential remains underutilised due to a limited understanding of the intraspecific genetic diversity they hold. By leveraging digitised data associated with seedbank collections, such as sampling locations, number of maternal plants and seed traits, we can attempt the estimation of genetic ...
Roberta Gargiulo, Sean Hoban, Anne M. Visscher, Pablo Gómez Barreiro, Roberta L. C. Dayrell, Kiran L. Dhanjal‐Adams, Alice R. Hudson, Charlotte E. Seal, Simon Kallow, Jan Sala, Lee Oliver, Naomi Carvey, Ted Chapman, Efisio Mattana, Clare Callow, Christopher Cockel, Michael F. Fay, Juan Viruel, Inna Birchenko, Stephanie Miles, Timothy Pearce, Paul Kersey, Elinor Breman, Kate A. Hardwick   +23 more
wiley   +1 more source

Optimizing YOLOv8 for Enhanced Melon Maturity Detection with Attention Mechanisms: A Case Study from Puspalebo Orchard

JOIV: International Journal on Informatics Visualization
Enhancing fruit maturity detection is crucial in the agricultural industry to ensure product quality and reduce post-harvest losses. However, commonly used maturity detection methods still rely on human visual inspection, which is prone to errors and ...
Ubaidillah Umar, Tri Arief Sardjono, Hendra Kusuma, Mohamad Yani, Helmy Widyantara   +4 more
doaj   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, EarlyView.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

YOLOv8-GRW:A YOLOv8-based Algorithm for Road Defect Detection

Information Technology and Control
Given the critical importance of road defect detection for ensuring vehicular safety and the inefficiencies and high costs associated with traditional detection methods, this paper introduces an enhanced road defect detection algorithm based on an improved YOLOv8-GRW model.
Ao Xu, Dong Wang, Yongjian Zhu, Du Yang, Yintian Xu   +4 more
openaire   +1 more source

EDGS-YOLOv8: An Improved YOLOv8 Lightweight UAV Detection Model

Drones
In the rapidly developing drone industry, drone use has led to a series of safety hazards in both civil and military settings, making drone detection an increasingly important research field. It is difficult to overcome this challenge with traditional object detection solutions.
Min Huang, Wenkai Mi, Yuming Wang
openaire   +2 more sources

Improving YoloPX using YoloP and Yolov8 for Panoptic Driving Perception

JOIV: International Journal on Informatics Visualization
Autonomous driving technology (ADS) has seen significant advancements over the past decade, with car manufacturers investing heavily in its development to meet the growing demand for safer, more efficient, and eco-friendly transportation solutions.
Xie Yumeng, Noridayu Binti Manshor, Nor Azura Husin, Liu Chengzhi   +3 more
doaj   +1 more source

Development of a Grasshopper‐Leg‐Inspired Back‐Type Exoskeleton for the Reduction of Muscle Activation During Stoop Activities

Journal of Field Robotics, EarlyView.
ABSTRACT Farmers frequently suffer from musculoskeletal disorders, particularly lower back pain (LBP), mainly due to occupational ergonomic factors such as repetitive stooping and lifting. This study proposes using an exoskeleton to reduce LBP risk by providing external torque to the hip joints.
Dang Khanh Linh Le, Wei Chih Lin
wiley   +1 more source

Unmanned aerial vehicle classification and detection system based on deep learning, internet of military things, and PID control system

International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Indonesia is an archipelagic country situated between two continents and two oceans. With numerous islands, it is rich in natural resources but faces various military and non-military threats.
Azka Versantariqh Lesmana, Iqbal Ahmad Dahlan, Hendrana Tjahjadi, Setya Widyawan Prakosa, Muhammad Azka Firdaus   +4 more
doaj   +1 more source