Titlebook: Advances in Soft Computing; 18th Mexican Interna Lourdes Martínez-Villase?or,Ildar Batyrshin,Antoni Conference proceedings 2019 Springer Na

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書目名稱Advances in Soft Computing影響因子(影響力)




書目名稱Advances in Soft Computing影響因子(影響力)學(xué)科排名




書目名稱Advances in Soft Computing網(wǎng)絡(luò)公開度




書目名稱Advances in Soft Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Soft Computing被引頻次




書目名稱Advances in Soft Computing被引頻次學(xué)科排名




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書目名稱Advances in Soft Computing年度引用學(xué)科排名




書目名稱Advances in Soft Computing讀者反饋




書目名稱Advances in Soft Computing讀者反饋學(xué)科排名

合群

Statistical Approach in Data Filtering for Prediction Vessel Movements Through Time and Estimation R computational work when predictions or route estimations are in execution. The results obtained after testing the method are almost acceptable concerning route estimation with a precision of 74.98%, and with vessel positions predictions through time a 79% of accuracy.

泥土謙卑

Graves’-disease

A Deep Learning Approach for Hybrid Hand Gesture Recognitionidentify both static and dynamic gestures. As far as our knowledge, there is no full dataset based on the LMC that includes both types of gestures. Therefore, we also introduce the Hybrid Hand Gesture Recognition database, which consists of a large set of gestures generated with the LMC, including b

招惹

SLING

Retrieval

Early Anomalous Vehicular Traffic Detection Through Spectral Techniques and Unsupervised Learning Moatures and an unsupervised learning model to detect anomalous vehicular traffic. The methodology was evaluated in a real vehicular traffic database. Experimental results show that by using spectral attributes the detection of anomalous vehicular traffic, the Isolation Forest obtains the best results

不吉祥的女人

Anuj Dawar,Steven Lindell,Scott Weinsteincludes a more balanced and representative set of damages. This dataset is composed of 18,034 road damage images captured with a smartphone, with 45,435 instances road surface damages. Second, we trained different types of object detection methods, both traditional (an LBP-cascaded classifier) and de

Contend

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