讨论小组
发表于 2025-3-21 18:28:33
书目名称Internet and Distributed Computing Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0472417<br><br> <br><br>书目名称Internet and Distributed Computing Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0472417<br><br> <br><br>
相信
发表于 2025-3-21 20:53:20
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冥界三河
发表于 2025-3-22 01:43:59
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缓和
发表于 2025-3-22 07:09:54
978-3-319-45939-4Springer International Publishing AG 2016
现实
发表于 2025-3-22 11:48:40
Internet and Distributed Computing Systems978-3-319-45940-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
Banquet
发表于 2025-3-22 13:25:25
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直觉没有
发表于 2025-3-22 19:32:27
A New Modeling Method of Photoplethysmography Signal Based on Lognormal Basisnitor cardiovascular health in the daily life. The existing modeling methods are mainly based on Gaussian basis, which fail to conform to the long-tail features of PPG pulse waveforms. And other several existing methods based on Lognormal basis don’t work well in daily monitoring. In this paper, we
光亮
发表于 2025-3-23 00:04:20
A Neuro-Fuzzy System for Classifying Fatigue Degree of Wheelchair Usertended. However, fatigue detection for wheelchair users is still not explored widely. This paper proposes a complete system and approach to classify fatigue degree for manual wheelchair users. In our system, physiological and kinetic data are collected in terms of sEMG, ECG, and acceleration signals
事先无准备
发表于 2025-3-23 02:52:26
Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Ruleata classification is concept evolution, namely, novel class detection. Learn++ group methods are normally employed for stream data, however, these methods hardly handle the novel class detection problem. Therefore, in this paper, we introduce an approach that combines Learn++.NSE with reject option
Constituent
发表于 2025-3-23 08:47:34
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