Julienne
发表于 2025-3-21 20:02:04
书目名称Artificial Intelligence Methods in Intelligent Algorithms影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0162129<br><br> <br><br>书目名称Artificial Intelligence Methods in Intelligent Algorithms读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0162129<br><br> <br><br>
CREEK
发表于 2025-3-21 22:16:39
The Child as a Research Subjectadjust the length of the contention period to improve the channel utilization. The simulation results show that our proposed algorithm can improve significantly the performance in terms of system throughput, transmission delay and channel utilization compared to the IO-MAC algorithm and legacy IEEE
Cupidity
发表于 2025-3-22 02:17:15
Richard Beals,Roderick S. C. Wongocessing methods such as Fourier Transform, Wavelet Transform can be used for extracting useful information. The parameters of Empirical Mode Decomposition show promising results. The promising results in terms of accuracy of selections IMFs and analysis of time-frequency domain. The selected
Negligible
发表于 2025-3-22 07:18:05
http://reply.papertrans.cn/17/1622/162129/162129_4.png
avenge
发表于 2025-3-22 12:05:54
Novel Optimized Filter Design for Filtered-OFDM to Enhance 5G Communication Spectral Efficiency,bols, a specially designed filter is proposed. The performance evaluation is done among optimized filtered OFDM (F-OFDM) with Cyclic Prefix OFDM (CP-OFDM). From the outcomes, it is found that the streamlined F-OFDM system has got better PAPR value than conventional OFDM system with least Bit Error R
insurgent
发表于 2025-3-22 13:10:13
Decoupling Channel Contention and Data Transmission in Dense Wireless Infrastructure Network,adjust the length of the contention period to improve the channel utilization. The simulation results show that our proposed algorithm can improve significantly the performance in terms of system throughput, transmission delay and channel utilization compared to the IO-MAC algorithm and legacy IEEE
Systemic
发表于 2025-3-22 17:48:08
Parameter Calculation in Time Analysis for the Approach of Filtering to Select IMFs of EMD in AE Seocessing methods such as Fourier Transform, Wavelet Transform can be used for extracting useful information. The parameters of Empirical Mode Decomposition show promising results. The promising results in terms of accuracy of selections IMFs and analysis of time-frequency domain. The selected
Popcorn
发表于 2025-3-22 23:21:50
Model of an Intellectual Information System for Recognizing Users of a Social Network Using Bioinsption of the faces in the photo and video cannot be known in advance. The article presents the results of solving the problem of scene variation, presented in the form of a model of an information system using bionspirited methods. This system and the method incorporated in it are intended for prelim
人类学家
发表于 2025-3-23 03:18:17
Artificial Intelligence Methods in Intelligent AlgorithmsProceedings of 8th C
细微的差异
发表于 2025-3-23 06:41:53
bution methods are analyzed and the base model and architecture of the cognitive assistant service are presented. The cognitive map usage as a data analysis intelligent technique is proposed. Also some issues of the service (i.e. scalability, dependability, integration) are considered and discussed.