4 papers
Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN
Weiqiang Huang, Juecen Zhan, Yumeng Sun +3
Multi-sensor systems are widely used in the Internet of Things, environmental monitoring, and intelligent manufacturing. However, traditional fixed-frequency sampling strategies of…
A Deep Learning Framework for Boundary-Aware Semantic Segmentation
Tai An, Weiqiang Huang, Da Xu +3
As a fundamental task in computer vision, semantic segmentation is widely applied in fields such as autonomous driving, remote sensing image analysis, and medical image processing.…
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
Jiacheng Hu, Tai An, Zidong Yu +2
This paper proposes a cold start recommendation model that integrates contrastive learning, aiming to solve the problem of performance degradation of recommendation systems in cold…
A Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models
Junliang Du, Shiyu Dou, Bohuan Yang +2
This paper studies a Markov network model for unbalanced data, aiming to solve the problems of classification bias and insufficient minority class recognition ability of traditiona…