Titlebook: Broadband Communications, Networks, and Systems; 10th EAI Internation Qingshan Li,Shengli Song,Honghao Gao Conference proceedings 2019 ICST

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书目名称Broadband Communications, Networks, and Systems影响因子(影响力)




书目名称Broadband Communications, Networks, and Systems影响因子(影响力)学科排名




书目名称Broadband Communications, Networks, and Systems网络公开度




书目名称Broadband Communications, Networks, and Systems网络公开度学科排名




书目名称Broadband Communications, Networks, and Systems被引频次




书目名称Broadband Communications, Networks, and Systems被引频次学科排名




书目名称Broadband Communications, Networks, and Systems年度引用




书目名称Broadband Communications, Networks, and Systems年度引用学科排名




书目名称Broadband Communications, Networks, and Systems读者反馈




书目名称Broadband Communications, Networks, and Systems读者反馈学科排名

水汽

https://doi.org/10.1007/978-3-658-02134-4eries RFID tag signal to recognize static and dynamic gestures. We conduct extensive experiments in three different environments. The results demonstrate the superior effectiveness of the proposed RF-Mnet framework.

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enumaerate

reception

Measuring and Analyzing the Burst Ratio in IP Traffic various network conditions, i.e. various loads, ports/applications used and packet size distributions. Secondly, we present theoretical values of the burst ratio, computed using a queueing model, and compare them with the values obtained in the measurements.

Monotonous

arabesque

GLUE

坚毅

讨好女人

Dynamic IFFSM Modeling Using IFHMM-Based Bayesian Non-parametric Learning for Energy Disaggregation times-series modeling as an unsupervised BNP learning method. Our suggested method can grip with few or nappropriate learning data as well as to standardize electrical appliance modeling. Our proposed method outperforms FHMM-based FSM modeling results illustrated in literature.