无法仿效 发表于 2025-3-21 18:45:35
书目名称Big Data影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0185572<br><br> <br><br>书目名称Big Data读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0185572<br><br> <br><br>坦白 发表于 2025-3-21 22:42:19
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Comparative Analysis of Hadoop MapReduce and Spark Based on People’s Livelihood Appeal Dataisk, and reveals much higher efficiency in data processing. In this paper, we will conduct comparative analysis of Hadoop MapReduce and Spark based on people’s Livelihood appeal data which is obtained from Pingshan district, Shenzhen, China.矛盾 发表于 2025-3-22 05:04:09
Automatic Classification of Medicinal Plants of Leaf Images Based on Convolutional Neural Networkifferent feature extraction methods and classification algorithms. In this paper, a novel dataset, which was based on Ethiopian medicinal plants, that use the leaf part of the plant, as a medicine was used to automatically classify the plants accordingly using their leaf image. An attempt has been m小说 发表于 2025-3-22 08:54:37
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Attention-Based Iterated Dilated Convolutional Neural Networks for Joint Intent Classification and Sworks model, there are less linear structures, and the parallel efficiency of program execution is higher. Experimental results demonstrate that our joint training model outperforms the accuracy compared to the baseline models on benchmark ATIS and Snips datasets respectively.MILK 发表于 2025-3-22 20:47:28
Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processer and sensitive phase extraction layer. The feature extraction layer is to overcome the non-linear problem in the injection molding process, the three-way data and the unequal length issue are addressed by the long short-term memory network. The key time node extraction layer extracts crucial point不要不诚实 发表于 2025-3-22 22:19:15
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https://doi.org/10.1007/978-3-030-20202-6ns from TCM data and explored the latent patterns and knowledge of it. The results of this paper is helpful to verify the TCM theory and provide assistance and reference to the clinical process. In order to increase the practicability of our discoveries, we developed a system to provide data explora