Results 111 to 120 of about 14,166 (237)

Deep Learning-Based Real Time Human Detection System Using LiDAR Data for Smart Healthcare Monitoring

Current Directions in Biomedical Engineering
Continuous patient monitoring is a critical component in healthcare systems to ensure patient safety and well-being. Traditionally, this monitoring requires significant oversight by healthcare professionals, making it resourceintensive.
Kalashtari Niloofar, Huhs Niklas, Kraitl Jens, Hornberger Christoph, Simanski Olaf   +4 more
doaj   +1 more source

YOLOv5s-TC: An Improved Intelligent Model for Insulator Fault Detection Based on YOLOv5s

Sensors
Insulators play a pivotal role in power grid infrastructure, offering indispensable electrical insulation and mechanical support. Precise and efficient detection of insulator faults is of paramount importance for safeguarding grid reliability and ensuring operational safety.
Yingying Yin, Yunpeng Duan, Xin Wang, Shuo Han, Chengyang Zhou   +4 more
openaire   +3 more sources

Multifunctional Transition Metal Dichalcogenide‐Based Electronic Skin for AI‐Enhanced Multimodal Human–Machine Interaction and Robotic Control

Aggregate, Volume 7, Issue 9, September 2026.
The proposed e‐skin incorporates multimodal sensing capabilities, including surface electromyography (sEMG), NO2 sensing, photodetection, and temperature monitoring, allowing for seamless human‐robot interaction. By integrating sEMG‐based gesture recognition with voice commands and an LLM‐assisted task planning module, we developed a robotic control ...
He Zhu, Cong Wang, Shiqi Guo, Jialin Zhu, Mao Chen, Mei Liu, Weihua Ding, Shiqian Shen, Leilei Li, Jiahao Zhong, Yunlong Zhao, Gang Wang, Dong Yang   +12 more
wiley   +1 more source

Context Aware Multimodal Fusion YOLOv5 Framework for Pedestrian Detection under IoT Environment [PDF]

Radioengineering
Pedestrian detection based on deep networks has become a research hotspot in the field of computer vision. With the rapid development of the Internet of Things (IoT) and autonomous driving technology, the deployment of pedestrian detection models on ...
Y. Shu, Y. Wang, M. Zhang, J. Yang, Y. Wang, J. Wang, Y. Zhang   +6 more
doaj  

GT-YOLO: Nearshore Infrared Ship Detection Based on Infrared Images

Journal of Marine Science and Engineering
Traditional visible light target detection is usually applied in scenes with good visibility, while the advantage of infrared target detection is that it can detect targets at nighttime and in harsh weather, thus being able to be applied to ship ...
Yong Wang, Bairong Wang, Lile Huo, Yunsheng Fan   +3 more
doaj   +1 more source

Wind Turbine Blade Crack Detection and Assessment in Images Using Machine Learning

Wind Energy, Volume 29, Issue 9, September 2026.
ABSTRACT As the wind energy industry matures, inspection of wind turbine blades (WTBs) is shifting from a manual process involving rope access and grading of damage, towards unmanned aerial vehicle (UAV) photography and artificial intelligence‐aided processing of data.
Callum Rothon, Nina Dethlefs, Robert C. Houseago   +2 more
wiley   +1 more source

ВПЛИВ РОЗДІЛЬНОЇ ЗДАТНОСТІ ВХІДНИХ ЗОБРАЖЕНЬ НА ПАРАМЕТРИ МОДЕЛЕЙ YOLO ПРИ ДЕТЕКТУВАННІ ОБ’ЄКТІВ

Автоматизация технологических и бизнес-процессов
У статті представлено результати дослідження впливу роздільної здатності вхідних зображень на ключові параметри моделей глибокого навчання YOLOv5 і YOLOv8 при виконанні завдань детектування об’єктів.
Юрій Романович Щебель
doaj   +1 more source

Time Series Domain Adaptation: A Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
This survey provides a comprehensive and systematic review of TSDA methods from the perspectives of access‐privacy constraints, category‐space semantics, and source‐target topology, three orthogonal axes that unify existing approaches within a common taxonomy.
M. T. Furqon, Mahardhika Pratama, Wisnu Jatmiko   +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, Volume 2026, Issue 5, September 2026.
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

The High‐Intensity Zone: A Dynamic Inflammatory Hub in Lumbar Disc Degeneration

Orthopaedic Surgery, Volume 18, Issue 9, Page 1804-1818, September 2026.
The HIZ, a dynamic inflammatory hub in lumbar disc degeneration, links inflammation‐degeneration‐pain; integrating advanced diagnostics and targeted therapies offers precise management for discogenic low back pain. ABSTRACT The lumbar intervertebral disc high‐intensity zone (HIZ), a focal hyperintensity within the annulus fibrosus on T2‐weighted ...
Qi Zhou, Jingyi Cai, Weijian Zhu, Sirui Zhou, Liling Zhou, Yiyao Pei, Gang Wu   +6 more
wiley   +1 more source