傀儡
发表于 2025-3-27 00:45:52
Dynamic Micro-cluster-Based Streaming Data Clustering Method for Anomaly Detectionglobal and local densities respectively. The effectiveness of the suggested approach was evaluated with the use of three different datasets. The findings of the experiment demonstrate that the suggested method is superior to earlier algorithms in terms of both the accuracy of detection and the level
characteristic
发表于 2025-3-27 01:20:36
Federated Ensemble Algorithm Based on Deep Neural Networke accuracy of the local model. The results of the experiments show that, in comparison to conventional multi-source data processing technology, the accuracy of the algorithm in the training model for the MNIST dataset, the digits dataset, the letter dataset, and the wine dataset is improved by 1%, 8
国家明智
发表于 2025-3-27 08:30:09
Performance Comparison of Feature Selection Methods for Prediction in Medical Dataand CatBoost. The experiment is carried out by evaluating the performances of the machine learning with and without applying feature selection methods. According to the results, CatBoost with RFE shows the best performance, in comparison to Random Forest with other feature selection methods.
植物群
发表于 2025-3-27 09:46:33
http://reply.papertrans.cn/88/8706/870505/870505_34.png
attenuate
发表于 2025-3-27 15:51:30
Federated Learning with Class Balanced Loss Optimized by Implicit Stochastic Gradient Descentlivered faster and more stable convergence than FedProx and FedAvg. This work offers a strategy that decreases the number of communication cycles on highly heterogeneous synthetic datasets by around 50% compared to FedProx, therefore considerably enhancing the stability and durability of federated l
喷油井
发表于 2025-3-27 18:59:25
http://reply.papertrans.cn/88/8706/870505/870505_36.png
侵略者
发表于 2025-3-27 22:27:22
http://reply.papertrans.cn/88/8706/870505/870505_37.png
战役
发表于 2025-3-28 04:08:09
Towards Robust Underwater Image Enhancementquality attributes is also performed. The results show that GL-Net achieves the best enhancement result, but based on the qualitative assessment, this method still has room for improvement. A proper combination between the non-learning-based component and learning-based component should be investiga
Exploit
发表于 2025-3-28 08:01:43
Jincheng Zhou,Hongyu Xueysical and thermomechanical response of materials subjected to intensive dynamic loading is a challenge of great signi?cance in engineering today. When intensiv978-3-642-07194-2978-3-540-36845-8Series ISSN 2197-9529 Series E-ISSN 2197-9537
中国纪念碑
发表于 2025-3-28 12:45:08
http://reply.papertrans.cn/88/8706/870505/870505_40.png