Sediment 发表于 2025-3-21 16:55:48
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Improving Adversarial Attacks with Ensemble-Based Approaches known models, meanwhile, keeping a higher success rate on all original models. In addition, the experiment result illustrates that, for more challenging targeted attacks, our methods exhibit higher transferability than other state-of-the-art attacks.RENIN 发表于 2025-3-22 01:27:52
http://reply.papertrans.cn/17/1621/162072/162072_3.png旋转一周 发表于 2025-3-22 04:52:18
An Optical Satellite Controller Based on Diffractive Deep Neural Networkconvert the light field at the output plane of DM module into electronic signals. Then, we trained the DM module to make the decoded electrical signals consistent with the desired optimal control commands. Therefore, when the light carrying input information and propagating through the well-trainedHARD 发表于 2025-3-22 09:28:56
Incomplete Cigarette Code Recognition via Unified SPA Features and Graph Space Constraintsconstraints and calculate character spatial correlations and accurately estimates missing character landmarks. Finally, we employ the Hungarian algorithm to align recognition characters with estimated landmarks and fill missing characters with ‘*’ to preserve the complete semantic context, and produ健忘症 发表于 2025-3-22 16:48:22
ETH-TT: A Novel Approach for Detecting Ethereum Malicious Accountsas dataset for experiments. The results show that the ETH-TT method can achieve an F1-score of 95.4% with the cooperation of the XGBoost classifier, which is better than the detection method using only manual features.Heart-Rate 发表于 2025-3-22 19:44:07
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendationnt effect (i.e., CTR), leading to trade-offs during optimization. To address these challenges, we propose a Multi-Objective Meta-return Reinforcement Learning (.) framework for sequential recommendation, which consists of a . and a .. Specifically, the . is designed to adaptively capture the return种族被根除 发表于 2025-3-22 22:14:07
Purchase Pattern Based Anti-Fraud Framework in Online E-Commerce Platform Using Graph Neural Networkveness of our framework, and the experimental results show that the DPP is able to capture more discriminative user patterns. Furthermore, GSR achieves the best performance compared to several state-of-the-art methods. Our method can be easily extended to other domains with the same problems as ourprediabetes 发表于 2025-3-23 04:35:41
http://reply.papertrans.cn/17/1621/162072/162072_9.pngMIR 发表于 2025-3-23 07:11:47
Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliencd thus have a great impact on the overall quality of the SIs. Next, the convolutional neural network (CNN) is adopted to extract quality-aware features for the whole image and local region, which are then mapped into the global and local quality scores through the fully connected (FC) network respec