Batch Normalization achieves the same accuracy with 14 times fewer training steps, and beats the original model by a significant margin.
Authors can also include in the MULTIMEDIA section, supplemental material such as: authors biographies; a list of conference presentations related to the published work.
Chang'an University focuses on the metafunction testing for each part of CAVs and the comprehensive performance testing under the limit conditions.
Ring Road, Xi'an, Shaanxi 710064, China2Department of Civil and Environmental Engineering, University of California, Davis, 3145 Ghausi Hall, One Shields Avenue, Davis, CA 95616, USA3California Department of Transportation, Division of Maintenance, Headquarters, 2389 Gateway Oaks Drive, No.
Deals with composite materials consisting of continuous synthetic fibers and matrices for use in civil engineering structures and subjected to the loading and environments of the infrastructure.
HIC that presents how publications build upon and relate to each other is result of identifying meaningful citations.
In summary, DSRC is more suitable for Collision Avoidance and other related safety V2V traffic applications.
Apart from classification and regression, ELM has recently been extended for clustering, feature selection, representational learning and many other learning tasks.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Ping function supplied by Linux OS, the Packet Loss Rate is calculated through the success rate of the transmission of the WSMP packages, and the throughput is computed on the counts of the received UDP packages during a specified time segment.
Summary: We experimentally quantify the generality versus specificity of neurons in each layer of a deep convolutional neural network and report a few surprising results.
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Synergistic inhibition of catalase activity by food colorants sunset yellow and curcumin: An experimental and MLSD simulation approach.
