Guanghai Zheng
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View article: SemiBiGAN: Semi-Cycled Bi-Level Generative Adversarial Network for Face Super-Resolution
SemiBiGAN: Semi-Cycled Bi-Level Generative Adversarial Network for Face Super-Resolution Open
View article: A Novel Two-Channel Classification Approach Using Graph Attention Network with K-Nearest Neighbor
A Novel Two-Channel Classification Approach Using Graph Attention Network with K-Nearest Neighbor Open
Graph neural networks (GNNs) typically exhibit superior performance in shallow architectures. However, as the network depth increases, issues such as overfitting and oversmoothing of hidden vector representations arise, significantly dimin…
View article: Improvement of defect detection for steel based on YOLOv7 algorithm
Improvement of defect detection for steel based on YOLOv7 algorithm Open
Working on the conundrum of low efficiency of strip surface defect detection, a surface defect detection algorithm for boards and strips leveraging YOLOV7 is introduced. First, the global attention mechanism is set up to enhance global inf…
View article: Design of Abnormal Behavior Detection System Based on Multimodal Fusion
Design of Abnormal Behavior Detection System Based on Multimodal Fusion Open
View article: Improvement of DBSCAN Algorithm Based on K-Dist Graph for Adaptive Determining Parameters
Improvement of DBSCAN Algorithm Based on K-Dist Graph for Adaptive Determining Parameters Open
For the shortcomings of an unstable clustering effect and low accuracy caused by the manual setting of the two parameters Eps and MinPts of the DBSCAN (density-based spatial clustering of applications with noise) algorithm, this paper prop…
View article: Research on Low Illumination Image Enhancement Algorithm Based on Convolutional Neural Network
Research on Low Illumination Image Enhancement Algorithm Based on Convolutional Neural Network Open
Low illumination images have insufficient local and global light exposure, loss of structural and detail information, and are prone to generating a large amount of noise. The overall image is grayish or even completely dark, and people oft…
View article: Recommendation Algorithm for Multi-Task Learning with Directed Graph Convolutional Networks
Recommendation Algorithm for Multi-Task Learning with Directed Graph Convolutional Networks Open
As an important branch of machine learning, recommendation algorithms have attracted the attention of many experts and scholars. The current recommendation algorithms all more or less have problems such as cold start and single recommended…
View article: Session-Enhanced Graph Neural Network Recommendation Model (SE-GNNRM)
Session-Enhanced Graph Neural Network Recommendation Model (SE-GNNRM) Open
Session-based recommendation aims to predict anonymous user actions. Many existing session recommendation models do not fully consider the impact of similar sessions on recommendation performance. Graph neural networks can better capture t…
View article: A Novel Image Recognition Method Based on DenseNet and DPRN
A Novel Image Recognition Method Based on DenseNet and DPRN Open
Image recognition is one of the important branches of computer vision, which has important theoretical and practical significance. For the insufficient use of features, the single type of convolution kernel and the incomplete network optim…
View article: Study Logistics Architecture for Grain Container Multimodal Transport Based on Multi-Agent
Study Logistics Architecture for Grain Container Multimodal Transport Based on Multi-Agent Open
In order to reduce the cost of grain container multimodal transport operations and improve collaborative management level of each link in grain container multimodal transport process, the paper presents an integrated business operation pro…