Results 111 to 120 of about 17,190 (230)

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

Determination of Location and Severity of Nodules on Lung Cancer CT Image Using YOLO Methods [PDF]

The severity of lung cancer can be used to determine appropriate treatment measures and reduce the risk of death. The severity identification is monitored based on the size and location of the nodule.
Ramadhani, Hanun Masitha, Fatichah, Chastine   +1 more
core   +2 more sources

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

You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine

, 2022
Layout Analysis (the identification of zones and their classification) is the first step along line segmentation in Optical Character Recognition and similar tasks.
Clérice, Thibault
core  

YOLOv5s-GTB: light-weighted and improved YOLOv5s for bridge crack detection

, 2022
In response to the situation that the conventional bridge crack manual detection method has a large amount of human and material resources wasted, this study is aimed to propose a light-weighted, high-precision, deep learning-based bridge apparent crack recognition model that can be deployed in mobile devices' scenarios.
openaire   +2 more sources

Enhancing YOLOv5 Performance for Small-Scale Corrosion Detection in Coastal Environments Using IoU-Based Loss Functions

Journal of Marine Science and Engineering
The high salinity, humidity, and oxygen-rich environments of coastal marine areas pose serious corrosion risks to metal structures, particularly in equipment such as ships, offshore platforms, and port facilities.
Qifeng Yu, Yudong Han, Yi Han, Xinjia Gao, Lingyu Zheng   +4 more
doaj   +1 more source

Coal and gangue segmentation and recognition method based on YOLOv5-SEDC model

Gong-kuang zidonghua
The existing coal and gangue segmentation and recognition technology has a large number of parameters, slow classification speed, and low recognition accuracy.
YANG Yang, LI Haixiong, HU Miaolong, GUO Xiucai, ZHANG Huipeng   +4 more
doaj   +1 more source

Deteksi dan Klasifikasi Tingkat Keparahan Jerawat: Perbandingan Metode You Only Look Once [PDF]

Acne (Acne vulgaris) is one of the most common skin diseases, especially on the face. Accurate diagnosis and proper treatment are important for optimal care results and improving the accuracy of detection and classification of acne severity.
Ayub, Mewati, Liliawati, Swat Lie, Veby Agustin, Giezka   +2 more
core   +2 more sources

Measurement and Analysis of Detecting Fish Freshness Levels Using Deep Learning Method

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Subjective and objective tests used to determine the fish deterioration process require specialized skills and time, making them inefficient for use by the general public in markets.
Dhea Fajriati Anas, Indra Jaya, Yeni Herdiyeni   +2 more
doaj   +1 more source