Results 121 to 130 of about 14,166 (237)
Anchor matching strategy in YOLOv5.
Workpiece surface defect detection is an indispensable part of intelligent production. The surface information obtained by traditional 2D image detection has some limitations due to the influence of environmental light factors and part complexity ...
Danya Zhang (15309566) +3 more
core +1 more source
UTD-Yolov5: A Real-time Underwater Targets Detection Method based on Attention Improved YOLOv5
, 2022 As the treasure house of nature, the ocean contains abundant resources. But the coral reefs, which are crucial to the sustainable development of marine life, are facing a huge crisis because of the existence of COTS and other organisms. The protection of
Wang, Jingyao, Yu, Naigong
core
AI-Based Model for Home Waste Separation Using Raspberry Pi 5 AI Kit
Фізика і хімія твердого тілаEffective 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 +4 more
doaj +1 more source
Reviews in Aquaculture, Volume 18, Issue 4, September 2026.Syndromic convergence (SyCo) reframes aquaculture disease as the synergistic product of climate‐driven stressors, pathobiome communities, and host immune compromise, not single pathogens. A five‐criterion scoring matrix, composite early warning index, and three‐layer intervention framework together operationalize this shift toward predictive ...
Ilhan Altinok
wiley +1 more source
Mendeteksi Kendaraan menggunakan Algoritma YoloV5 [PDF]
Dengan kemajuan dalam bidang teknologi yang berkembang begitu pesat dimasa kini, seperti contoh dalam bidang Object detection atau Pendeteksi Objek. Seiring dengan berkembangnya ilmu teknologi saat ini, kebutuhan akan sistem Object detection juga akan ...
Amiennullah, Jefri
core +2 more sources
Quantized alpha–WIoU YOLOv5 algorithm for rice leaf disease detection
Tạp chí Khoa học và Công nghệThis 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 +4 more
doaj +1 more source
Corrugation and Squat Classification and Detection with VGG16 and YOLOv5 Neural Network Models
JOIV: International Journal on Informatics VisualizationRailway 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 +5 more
doaj +1 more source
Classification and Counting of Mycobacterium Tuberculosis using YOLOv5 [PDF]
Background: Indonesia is a nation with the third-highest number of tuberculosis (TB) cases worldwide, after China and India. TB detection has been facilitated using YOLOv5 deep learning framework despite previous studies not having incorporated ...
Nia Saurina +3 more
core +1 more source
UWB-vision fusion method for underground mine personnel localization
Meitan xuebaoThe 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 +4 more
doaj +1 more source
The network structure of YOLOv5.
Workpiece surface defect detection is an indispensable part of intelligent production. The surface information obtained by traditional 2D image detection has some limitations due to the influence of environmental light factors and part complexity ...
Danya Zhang (15309566) +3 more
core +1 more source