Results 51 to 60 of about 15,951 (227)

AI‐Based Automated Instrument Tracking During Endoscopic Skull Base Surgery: A Pilot Feasibility Study

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Background Endoscopic endonasal approaches (EEA) to skull base tumors are a technically challenging procedure for both surgeons and trainees. Artificial intelligence and computer vision (CV) may offer an objective analysis that provides surgical assessment on technique and enhanced educational feedback for surgeons of all levels.
David R. Grimm, Dhiraj Pangal, Danyal Z. Khan, Margaux Masson‐Forsythe, Kaan Duman, Ayesha Syeda, Jack Cook, Peter H. Hwang, Jayakar Nayak, Zara M. Patel, Noel Ayoub, Robert Dodd, Juan Fernandez‐Miranda, Daniel Donoho, Michael T. Chang   +14 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

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

Fine‐scale spatio‐temporal niche partitioning enables coexistence of wild ungulates and livestock in a resource‐limited Himalayan landscape, India

Wildlife Biology, EarlyView.
Understanding how wild ungulates share space with domestic livestock is central to conservation planning in Himalayan multi‐use landscapes. This study focuses on multi‐axis niche relationships among six wild ungulates: hangul Cervus hanglu hanglu, Kashmir musk deer Moschus cupreus, Himalayan goral Naemorhedus goral, kashmir markhor Capra falconeri ...
Mohsin Javid, Khursheed Ahmad, Orus Ilyas   +2 more
wiley   +1 more source

Edge-Accelerated Real-Time Egg Recognition Using YOLOv8

Proceedings of the International Conference on Applied Innovations in IT
Mechanised egg collection systems require vision models that are both accurate and light enough to run on embedded hardware. We built and evaluated an end to end pipeline that couples YOLOv8 object detection variants with Google’s Coral Edge TPU for real
Wesam Basil Abdulhameed, Zaidoon Tareq Abdulwahab   +1 more
doaj   +1 more source

Temperature Extraction Scheme for Composite Insulator Core Rod Sheath of Overhead Transmission Lines Based on Oriented Bounding Boxes

High Voltage, EarlyView.
ABSTRACT Unmanned Aerial Vehicle (UAV) inspection of overhead transmission line composite insulators allows for the rapid acquisition of large amounts of infrared images of insulators in service, which can be used to analyse their operational status. However, efficiently and accurately analysing these images remains a challenge.
Zhenan Zhou, Xinzhe Yu, Yu Deng, Chen Gu, Kun Zhang, Zheyuan Liu, Songsong Zhou, Yueneng Xu   +7 more
wiley   +1 more source

Jason-2k/YOLOv8-Coal: V 1.0

<p><strong>Full Changelog</strong>: https://github.com/Jason-2k/YOLOv8-Coal/commits/release</p ...
Wang, Wenyu
core   +1 more source

Prototipo de Sistema de Monitoreo Inteligente para la detección en Tiempo Real de Objetos y Actividades Sospechosas Utilizando Deep Learning

Informática y Sistemas
Esta investigación trata sobre la necesidad de optimizar los sistemas de videovigilancia a través del uso de inteligencia artificial para detectar proactivamente amenazas.
Lauro Alfonso Erreyes Cuenca, Nahin Josue Olmedo Chica, Mariuxi Paola Zea Ordóñez, Nancy Magaly Loja Mora   +3 more
doaj   +1 more source

OBC-YOLOv8: an improved road damage detection model based on YOLOv8

PeerJ Computer Science
Effective and efficient detection of pavement distress is very important for the normal use and maintenance of roads. To achieve this goal, a new road damage detection method based on YOLOv8 is proposed in this article. Firstly, omni-dimensional dynamic convolution (ODConv) block is employed to better grasp the complex and diverse features of damage ...
Shizheng Zhang, Zhihao Liu, Kunpeng Wang, Wanwei Huang, Pu Li   +4 more
openaire   +3 more sources

A Review and Prospect of Appearance Defect Detection Methods for High Voltage Equipment Based on Vision Large Models

High Voltage, EarlyView.
ABSTRACT High voltage equipment, as a core component of power systems, plays an indispensable role in ensuring the reliability of power supply through its safe and stable operation. Traditional visual defect detection for high voltage equipment, however, often relies on manual inspection and experience‐based judgement, which struggles to meet the ...
Zhenbing Zhao, Shuo Feng, Teng Ma, Chenkang Tang, Wenlong Liao, Yixuan Huang, Yongjie Zhai, Wenqing Zhao   +7 more
wiley   +1 more source