Titlebook: Nature of Computation and Communication; Second International Phan Cong Vinh,Leonard Barolli Conference proceedings 2016 ICST Institute for

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書目名稱Nature of Computation and Communication影響因子(影響力)




書目名稱Nature of Computation and Communication影響因子(影響力)學科排名




書目名稱Nature of Computation and Communication網(wǎng)絡公開度




書目名稱Nature of Computation and Communication網(wǎng)絡公開度學科排名




書目名稱Nature of Computation and Communication被引頻次




書目名稱Nature of Computation and Communication被引頻次學科排名




書目名稱Nature of Computation and Communication年度引用




書目名稱Nature of Computation and Communication年度引用學科排名




書目名稱Nature of Computation and Communication讀者反饋




書目名稱Nature of Computation and Communication讀者反饋學科排名

Largess

https://doi.org/10.1007/978-3-319-46909-6algorithms; artificial intelligence; classification; classifiers; computing methodologies; data mining; di

非實體

Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with paper, we compare performances of two well-known approaches: parametric and non-parametric. The results indicate that the non-parametric approach can obtain better performance when the noise is strong (SNR = 10?dB). With the low noise level, the parametric approaches become more interesting.

隨意

Conference proceedings 2016held in March 2016 in Rach Gia, Vietnam.. The 36 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication..

知識

填料

災禍

Nature of Computation and Communication978-3-319-46909-6Series ISSN 1867-8211 Series E-ISSN 1867-822X

梯田

CLAY

Dense 3D Mapping Using Volume Registration,presence of moving objects within the scene which are problematic for SLAM systems. Quantitative and qualitative experimental results are presented, evaluating the noise sensitivity, reconstruction quality and robustness in the context of moving objects.

callous

Fast Bilateral Symmetry Detection Using Inverted Gradient Hash Maps, permits points of interest to be located very rapidly without needing to search through the image. Unlike many symmetry operators it is able to detect large-scale symmetry. The method is described and experimentally evaluated against existing methods for bilateral symmetry detection.