Titlebook: Artificial Intelligence; Second CCF Internati Kevin Knight,Changshui Zhang,Min-Ling Zhang Conference proceedings 2019 Springer Nature Singa

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書目名稱Artificial Intelligence影響因子(影響力)




書目名稱Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence被引頻次




書目名稱Artificial Intelligence被引頻次學(xué)科排名




書目名稱Artificial Intelligence年度引用




書目名稱Artificial Intelligence年度引用學(xué)科排名




書目名稱Artificial Intelligence讀者反饋




書目名稱Artificial Intelligence讀者反饋學(xué)科排名

秘傳

Image Recognition of Peanut Leaf Diseases Based on Capsule Networksase images by taking advantage of the capsule networks. Firstly, constructing the data set of the peanut leaf disease images and data enhancement was used to process the images. Secondly, this paper designed two types of capsule networks: modifying the parameters for the peanut leaf disease images a

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共同確定為確

TCPModel: A Short-Term Traffic Congestion Prediction Model Based on Deep Learningerm traffic speed prediction model called .. Both models are based on a deep learning method Stacked Auto Encoder (.). By comparing the other traffic flow forecasting methods and average speed forecasting methods, the methods proposed by this paper have improved the accuracy rate. For traffic conges

ostensible

gentle

The Methods for Reducing the Number of OOVs in Chinese-Uyghur NMT Systemnt test on low-frequency words from Chinese corpus after training and achieved an even more reduced OOV result of 98. The mass reduction of OOVs from 1.5 thousand to only a hundred signifies the effectiveness of the solutions in this study.

penance

blight

Matrimony

Developing Successful Oracle Applications,t scale classification maps and obtain a final road decision map. To validate the performance of the proposed method, we test our MSCNN based method and other state-of-the-art approaches on two challenging datasets of high-resolution images. Experiments show our method gets the best results both in

流動(dòng)性

Developing Successful Oracle Applications,erm traffic speed prediction model called .. Both models are based on a deep learning method Stacked Auto Encoder (.). By comparing the other traffic flow forecasting methods and average speed forecasting methods, the methods proposed by this paper have improved the accuracy rate. For traffic conges