失败主义者 发表于 2025-3-23 10:16:36
Fast Homomorphic Encryption Based on CPU-4GPUs Hybrid System in Cloudating encryption operation with DGHV algorithm to reduce the time duration and provide a comparative performance study. We also make further efforts to design a pipeline architecture of processing stream in CPU-4GPUs hybrid system to accelerate encryption for DGHV algorithm. The experiment results s交响乐 发表于 2025-3-23 17:18:36
http://reply.papertrans.cn/103/10216/1021543/1021543_12.png黄油没有 发表于 2025-3-23 19:49:54
A Distributed Rule Engine for Streaming Big Datales and optimize the matching process, we use the ternary grid model [.] for representing rules and design a scheduling model to improve the memory sharing in the matching process. The evaluation shows that KSSRE has a better performance, scalability and fault tolerance based on DBLP data sets.Directed 发表于 2025-3-23 22:48:55
http://reply.papertrans.cn/103/10216/1021543/1021543_14.pngMILK 发表于 2025-3-24 05:53:07
http://reply.papertrans.cn/103/10216/1021543/1021543_15.pngIRATE 发表于 2025-3-24 10:18:32
Optimization of Depth from Defocus Based on Iterative Shrinkage Thresholding Algorithmlgorithms, the efficiency of FL-ISTA algorithm was great improved and the depth from defocus decreased by 10 percentage points, which close to the scale of 500 nm grid. The experimental results indicate that FL-ISTA algorithm can effectively improve the convergence rate of solving dynamic optimizatibacteria 发表于 2025-3-24 11:50:20
http://reply.papertrans.cn/103/10216/1021543/1021543_17.png领袖气质 发表于 2025-3-24 17:54:22
Jointly Trained Convolutional Neural Networks for Online News Emotion Analysisonline news share the similar word distributions and similar emotion categories, we train the neural networks on two data sets simultaneously so that the model can learn the knowledge from both dataset and benefit the classification on both data sets. In this paper, we elaborate our jointly trainedfodlder 发表于 2025-3-24 20:21:56
http://reply.papertrans.cn/103/10216/1021543/1021543_19.png衍生 发表于 2025-3-25 01:54:34
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