Results 101 to 110 of about 19,033 (238)

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

Wildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew, Jason Hanlon, Ilya Buzytsky   +2 more
wiley   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

Real-Time Pose Estimation of Preterm Infants Using Depth Images

Current Directions in Biomedical Engineering
Early diagnosis of neurodevelopmental disorders in infants relies on accurate analysis of spontaneous movements. Achieving this requires fast and precise pose estimation methods tailored to infant-specific anatomy and motion. This study evaluates several
Vogelsang Tobias, Fahlbusch Fabian B., Behr Anna-Lena, Zaunseder Sebastian   +3 more
doaj   +1 more source

Attention-Based Multi-View Fusion YOLO for Non-Destructive Pineapple Sweetness Assessment

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Classifying the sweetness level of pineapples is an important part of quality control, but existing methods still face issues of subjectivity and require destructive testing.
Dwi Vernanda, Tri Herdiawan Apandi, Aisyah Suhailla Binti Jili, Desy Triastuti, Willy Muhammad Fauzi   +4 more
doaj   +1 more source

AN INTELLIGENT SYSTEM FOR IRAQI ARABIC LICENSE PLATE RECOGNITION USING YOLO AND MACHINE LEARNING

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Vehicle identification processes through traffic management systems depend heavily on automatic license plate recognition capabilities. The presented system uses advanced methods from deep learning and machine learning to recognize Iraqi vehicle license ...
Neaam M.Isaam Abdul-Sattar
doaj   +1 more source

EA-YOLO: Efficient Extraction and Aggregation Mechanismof YOLO for Fire Detection

Multimedia Systems
Abstract For fire detection, there are characteristics such as variable sample feature morphology, complex background and dense target, small sample size of dataset and imbalance ofcategories, which lead to the problems of low accuracy and poor real-time performanceof the existing fire detection models.
Dongmei Wang, Ying Qian, Jingyi Lu, Peng Wang, Dandi Yang, Tianhong yan   +5 more
openaire   +1 more source

FD-YOLO: A YOLO Network Optimized for Fall Detection

Applied Sciences
Falls are defined by the World Health Organization (WHO) as incidents in which an individual unintentionally falls to the ground or a lower level. Falls represent a serious public health issue, ranking as the second leading cause of death from unintentional injuries, following traffic accidents.
Hoseong Hwang, Donghyun Kim, Hochul Kim
openaire   +2 more sources

SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu, Yan Liu, Xinyu Song, Ruiqing Han, Haiyong Liu, Bo Huang, Yufeng Yao, Ming Zhong   +7 more
wiley   +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

Design and implementation of a radar-camera integrated system based on dual RF chip cascade

Dianzi Jishu Yingyong
In the field of Intelligent Transportation Systems (ITS), radar-camera integrated systems offer advantages such as lower cost and enhanced data fusion compared to the combination of standalone radar and checkpoint cameras.
Li Qian, Li Bo, Ruan Bin
doaj   +1 more source