deliberate
发表于 2025-3-21 19:27:52
书目名称Neural Computing for Advanced Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0663544<br><br> <br><br>书目名称Neural Computing for Advanced Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0663544<br><br> <br><br>
prolate
发表于 2025-3-21 22:22:23
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统治人类
发表于 2025-3-22 04:13:16
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manifestation
发表于 2025-3-22 05:40:53
Neural Computing for Advanced Applications978-981-15-7670-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
痛苦一生
发表于 2025-3-22 10:55:05
Adaptive Multiple-View Label Propagation for Semi-supervised Classification,e views rather than on the single view, and can exploit the complementarity of multiple views in the label prediction process. Moreover, MLP integrates the multi-view label propagation and the adaptive multiple graph weight learning into a unified model, where a linear transformation is used to enfo
ADORN
发表于 2025-3-22 13:59:49
Container Damage Identification Based on Fmask-RCNN,was manually recorded, with hidden safety risks and inaccurate handling. To solve this problem, the paper proposes a Fmask-RCNN model. It is based on Mask-RCNN, introducing Res2Net101 framework and adding path fusion augmentation, multiple fully connected layers, fusion upsampling or enhancement. Fm
ANTH
发表于 2025-3-22 18:32:48
Multiagent Reinforcement Learning for Combinatorial Optimization,roblems (CMOPs). In the multiagent system, each agent (grid) maintains at most one solution after the MARL-guided selection for local search. MARL adaptively adjusts the selection strategy for conducting better collaborative Pareto local search. In the experimental studies, the MARL-guided grid Pare
分开
发表于 2025-3-22 23:38:54
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LIKEN
发表于 2025-3-23 04:17:10
Exploring Multi-scale Deep Encoder-Decoder and PatchGAN for Perceptual Ultrasound Image Super-Resolsors, transmission media and ultrasound characteristics, the quality of ultrasound imaging may be poor, especially its low spatial resolution. We incorporate, in this paper, a new multi-scale deep encoder-decoder structure into a PatchGAN (patch generative adversarial network) based framework for fa
Palter
发表于 2025-3-23 06:59:13
Reliable Neighbors-Based Collaborative Filtering for Recommendation Systems,s paper proposes a reliable neighbors-based collaborative filtering (RNCF) method for recommendation systems. RNCF first uses the item similarity to pre-estimated missing ratings to solve the issue of data sparsity, which enriches the sample data and reduces the impact of extremely sparse ratings on