[HTML][HTML] A review of deep learning in dentistry

C Huang, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

Rep-yolo: an efficient detection method for mine personnel

X Shao, S Liu, X Li, Z Lyu, H Li - Journal of Real-Time Image Processing, 2024 - Springer
The detection of underground personnel is one of the key technologies in computer vision.
However, this detection technique is susceptible to complex environments, resulting in low …

Detection and Recognition of Tilted Characters on Railroad Wagon Wheelsets Based on Deep Learning

F Xu, Z Xu, Z Lu, C Peng, S Yan - Sensors, 2023 - mdpi.com
The quality of railroad wheelsets is an important guarantee for the safe operation of wagons,
and mastering the production information of wheelsets plays a vital role in vehicle …

Research on near-ground forage hyperspectral imagery classification based on fusion preprocessing process

Y Liu, X Pan, J Liu, S Zhang, W Yan - International Journal of …, 2023 - Taylor & Francis
Accurate identification and classification of forage grass are pivotal in optimizing forage
resources and breeding superior forage varieties. Given the low accuracy in forage image …

Enhanced-YOLOv8: A new small target detection model

L Wei, Y Tong - Digital Signal Processing, 2024 - Elsevier
Small target detection is a very difficult task and remains one of the most challenging
problems in computer vision due to variations in object shape, appearance and position, as …

Multi-Target Rumination Behavior Analysis Method of Cows Based on Target Detection and Optical Flow Algorithm

R Gao, Q Liu, Q Li, J Ji, Q Bai, K Zhao, L Yang - Sustainability, 2023 - mdpi.com
Rumination behavior is closely associated with factors such as cow productivity,
reproductive performance, and disease incidence. For multi-object scenarios of dairy cattle …

LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation

H Ding, Z Wu, J Zhang, M Ping, Y Liu - arXiv preprint arXiv:2403.11122, 2024 - arxiv.org
Few-shot segmentation models excel in metal defect detection due to their rapid
generalization ability to new classes and pixel-level segmentation, rendering them ideal for …

Railroad Catenary Insulator Fault Detection Based on Improved Faster R-CNN

L Yi, T Dong, Y Wang, H She, C Yi… - Recent Patents on …, 2024 - ingentaconnect.com
Background: The railroad catenary insulator, which is a crucial component of the catenary
system and is situated between the pillar and wrist arm, is crucial for electrical conductor …