5 papers
Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation
Xuan Li, Quanchao Lu, Yankaiqi Li +2
Semantic segmentation is one of the core tasks in the field of computer vision, and its goal is to accurately classify each pixel in an image. The traditional Unet model achieves e…
A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets
Xuan Li, Tingyi Ruan, Yankaiqi Li +2
This paper proposes a frequent itemset mining algorithm based on the Boolean matrix method, aiming to solve the storage and computational bottlenecks of traditional frequent patter…
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP
Xiaoxuan Sun, Yue Yao, Xiaoye Wang +2
With the rapid development of artificial intelligence technology, its application in the optimization of complex computer systems is becoming more and more extensive. Edge computin…
Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction
Xiaoye Wang, Xuan Li, Linji Wang +2
This paper proposes an intelligent cache management strategy based on CNN-LSTM to improve the performance and cache hit rate of storage systems. Through comparative experiments wit…
Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments
Pochun Li, Yuyang Xiao, Jinghua Yan +2
This study presents a novel computer system performance optimization and adaptive workload management scheduling algorithm based on Q-learning. In modern computing environments, ch…