MA-YOLO: a method for detecting surface defects of aluminum profiles with attention guidance

L Jiang, B Yuan, Y Wang, Y Ma, J Du, F Wang… - IEEE …, 2023 - ieeexplore.ieee.org
Aluminum Profiles (APs) are aluminum materials obtained by hot melting and extruding
aluminum rods. It has the characteristics of low cost, strong plasticity, easy processing, and …

MFFSODNet: Multi-Scale Feature Fusion Small Object Detection Network for UAV Aerial Images

L Jiang, B Yuan, J Du, B Chen, H Xie… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) aerial image object detection is a valuable and challenging
research field. Despite the breakthrough of deep learning-based object detection networks …

JujubeNet: A high-precision lightweight jujube surface defect classification network with an attention mechanism

L Jiang, B Yuan, W Ma, Y Wang - Frontiers in Plant Science, 2023 - frontiersin.org
Surface Defect Detection (SDD) is a significant research content in Industry 4.0 field. In the
real complex industrial environment, SDD is often faced with many challenges, such as small …

High Speed Safe Autonomous Landing Marker Tracking of Fixed Wing Drone Based on Deep Learning

B Yuan, W Ma, F Wang - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the current research on autonomous landing of Unmanned Aerial Vehicles (UAVs)
focus on rotorcrafts, which can fly horizontally over the landing site and then land vertically, …

DSCNN-LSTMs: A lightweight and efficient model for epilepsy recognition

Z Huang, Y Ma, R Wang, B Yuan, R Jiang, Q Yang… - Brain Sciences, 2022 - mdpi.com
Epilepsy is the second most common disease of the nervous system. Because of its high
disability rate and the long course of the disease, it is a worldwide medical problem and social …

MU R-CNN: A two-dimensional code instance segmentation network based on deep learning

B Yuan, Y Li, F Jiang, X Xu, Y Guo, J Zhao, D Zhang… - Future Internet, 2019 - mdpi.com
In the context of Industry 4.0, the most popular way to identify and track objects is to add tags,
and currently most companies still use cheap quick response (QR) tags, which can be …

RJ-TinyViT: an efficient vision transformer for red jujube defect classification

C Hu, J Guo, H Xie, Q Zhu, B Yuan, Y Gao, X Ma… - Scientific Reports, 2024 - nature.com
Compared to the surface defect detection of industrial products produced according to specified
processes, the detection of surface defects in naturally grown red jujubes poses unique …

Fast QR code detection based on BING and AdaBoost-SVM

B Yuan, Y Li, F Jiang, X Xu, J Zhao… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
In industry 4.0, the most popular way to identify and track objects is to add tags. Because the
cost of smart tag is still high, most companies still use cheap barcodes or QR codes. In order …

CDBA: a novel multi-branch feature fusion model for EEG-based emotion recognition

Z Huang, Y Ma, J Su, H Shi, S Jia, B Yuan, W Li… - Frontiers in …, 2023 - frontiersin.org
EEG-based emotion recognition through artificial intelligence is one of the major areas of
biomedical and machine learning, which plays a key role in understanding brain activity and …

Yuan Blue and White Pattern Extraction Method Based on Multi-Scale Retinex and Histogram Multi-Peak Threshold Segmentation

Q Zheng, B Zhu, Q Cai, J Li, C Fang, W Hu… - Available at SSRN … - papers.ssrn.com
… of yuan blue and white, aiming at the image features of yuanyuan blue and white, it
effectively avoids the influence of irrelevant information on the extraction and segmentation of yuan