Results 81 to 90 of about 8,823 (191)

A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems

IEEE Access
In the field of traffic surveillance systems, where effective traffic management and safety are the primary concerns, vehicle detection and tracking play an important role.
Nouf Abdullah Almujally, Asifa Mehmood Qureshi, Abdulwahab Alazeb, Hameedur Rahman, Touseef Sadiq, Mohammed Alonazi, Asaad Algarni, Ahmad Jalal   +7 more
doaj   +1 more source

Object Detection of Tree Uprooting Signatures in Gridded LiDAR Elevation Data

Earth and Space Science, Volume 13, Issue 11, November 2026.
Abstract Tree uprooting (or tree throw) is a natural forest disturbance with consequences for ecology, pedology, hydrology, geomorphology, and atmospheric fluxes. These events leave topographic signatures in the form of pit‐mound couplets (PMCs) that persist for decades to centuries.
T. H. Doane, A. Agarwal, B. J. Yanites, D. A. Edmonds   +3 more
wiley   +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

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

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

Quantized alpha–WIoU YOLOv5 algorithm for rice leaf disease detection

Tạp chí Khoa học và Công nghệ
This paper presents an innovative method based on convolutional neural networks for early detection and diagnosis of diseases in rice plants. The YOLOv5n model is modified by replacing its original loss function with the alpha-WIoU function to enhance ...
Nguyen Thu Ha, Vu Duc Long, Nguyen Hung Cuong, Mai Ngoc Tam, Bui Dang Thanh   +4 more
doaj   +1 more source

Corrugation and Squat Classification and Detection with VGG16 and YOLOv5 Neural Network Models

JOIV: International Journal on Informatics Visualization
Railway track defects in Malaysia pose significant risks of train derailments and accidents, underscoring the urgency for early and accurate defect detection and classification.
Muhammad Syukri Mohd Yazed, Mohd Amin Mohd Yunus, Ezak Fadzrin Ahmad Shaubari, Nor Aziati Abdul Hamid, Azmale Amzah, Zulhelmi Md Ali   +5 more
doaj   +1 more source

AI-Based Model for Home Waste Separation Using Raspberry Pi 5 AI Kit

Фізика і хімія твердого тіла
Effective domestic waste separation is also very critical to enhancing recycling and minimizing environmental pollution. Manual sorting, however, is labor-intensive, prone to errors and not practical to be widely adopted.
H. A. Mutar, I. R. N. ALRubeei, I. V. Svyd, Haider TH. Salim ALRikabi, Abdul Hadi M. Alaidi   +4 more
doaj   +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

UWB-vision fusion method for underground mine personnel localization

Meitan xuebao
The underground coal mine environment, characterized by strong electromagnetic interference (EMI), low illumination, dust, and dynamic occlusions from large equipment, poses significant challenges. Consequently, achieving continuous and precise personnel
Guangqian OUYANG, Bing PENG, Wen ZHAO, Xinlei YUAN, Qingfeng CHAI   +4 more
doaj   +1 more source