Titlebook: Big Data; 9th CCF Conference, Xiangke Liao,Wei Zhao,Dan Huang Conference proceedings 2022 Springer Nature Singapore Pte Ltd. 2022 artifici

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書目名稱Big Data影響因子(影響力)




書目名稱Big Data影響因子(影響力)學(xué)科排名




書目名稱Big Data網(wǎng)絡(luò)公開度




書目名稱Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data被引頻次




書目名稱Big Data被引頻次學(xué)科排名




書目名稱Big Data年度引用




書目名稱Big Data年度引用學(xué)科排名




書目名稱Big Data讀者反饋




書目名稱Big Data讀者反饋學(xué)科排名

坦白

涂掉

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

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

小說

嚙齒動(dòng)物

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

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

不要不誠實(shí)

Alopecia-Areata

Offensive

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